The State of the Art in HDR Deghosting: A Survey and Evaluation

Obtaining a high quality high dynamic range (HDR) image in the presence of camera and object movement has been a long‐standing challenge. Many methods, known as HDR deghosting algorithms, have been developed over the past ten years to undertake this challenge. Each of these algorithms approaches the...

Full description

Saved in:

Bibliographic Details
Published in:	Computer graphics forum Vol. 34; no. 2; pp. 683 - 707
Main Authors:	Tursun, Okan Tarhan, Akyüz, Ahmet Oğuz, Erdem, Aykut, Erdem, Erkut
Format:	Journal Article
Language:	English
Published:	Oxford Blackwell Publishing Ltd 01.05.2015
Subjects:	Algorithms Analysis Categories and Subject Descriptors (according to ACM CCS) Digital cameras Dynamic range Dynamics Ghosts I.4.8 [Image Processing and Computer Vision]: Scene Analysis-Motion Image processing systems Mathematical models State of the art Studies
ISSN:	0167-7055, 1467-8659
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Abstract	Obtaining a high quality high dynamic range (HDR) image in the presence of camera and object movement has been a long‐standing challenge. Many methods, known as HDR deghosting algorithms, have been developed over the past ten years to undertake this challenge. Each of these algorithms approaches the deghosting problem from a different perspective, providing solutions with different degrees of complexity, solutions that range from rudimentary heuristics to advanced computer vision techniques. The proposed solutions generally differ in two ways: (1) how to detect ghost regions and (2) what to do to eliminate ghosts. Some algorithms choose to completely discard moving objects giving rise to HDR images which only contain the static regions. Some other algorithms try to find the best image to use for each dynamic region. Yet others try to register moving objects from different images in the spirit of maximizing dynamic range in dynamic regions. Furthermore, each algorithm may introduce different types of artifacts as they aim to eliminate ghosts. These artifacts may come in the form of noise, broken objects, under‐ and over‐exposed regions, and residual ghosting. Given the high volume of studies conducted in this field over the recent years, a comprehensive survey of the state of the art is required. Thus, the first goal of this paper is to provide this survey. Secondly, the large number of algorithms brings about the need to classify them. Thus the second goal of this paper is to propose a taxonomy of deghosting algorithms which can be used to group existing and future algorithms into meaningful classes. Thirdly, the existence of a large number of algorithms brings about the need to evaluate their effectiveness, as each new algorithm claims to outperform its precedents. Therefore, the last goal of this paper is to share the results of a subjective experiment which aims to evaluate various state‐of‐the‐art deghosting algorithms.
AbstractList	Obtaining a high quality high dynamic range (HDR) image in the presence of camera and object movement has been a long‐standing challenge. Many methods, known as HDR deghosting algorithms, have been developed over the past ten years to undertake this challenge. Each of these algorithms approaches the deghosting problem from a different perspective, providing solutions with different degrees of complexity, solutions that range from rudimentary heuristics to advanced computer vision techniques. The proposed solutions generally differ in two ways: (1) how to detect ghost regions and (2) what to do to eliminate ghosts. Some algorithms choose to completely discard moving objects giving rise to HDR images which only contain the static regions. Some other algorithms try to find the best image to use for each dynamic region. Yet others try to register moving objects from different images in the spirit of maximizing dynamic range in dynamic regions. Furthermore, each algorithm may introduce different types of artifacts as they aim to eliminate ghosts. These artifacts may come in the form of noise, broken objects, under‐ and over‐exposed regions, and residual ghosting. Given the high volume of studies conducted in this field over the recent years, a comprehensive survey of the state of the art is required. Thus, the first goal of this paper is to provide this survey. Secondly, the large number of algorithms brings about the need to classify them. Thus the second goal of this paper is to propose a taxonomy of deghosting algorithms which can be used to group existing and future algorithms into meaningful classes. Thirdly, the existence of a large number of algorithms brings about the need to evaluate their effectiveness, as each new algorithm claims to outperform its precedents. Therefore, the last goal of this paper is to share the results of a subjective experiment which aims to evaluate various state‐of‐the‐art deghosting algorithms.
Author	Erdem, Erkut Erdem, Aykut Tursun, Okan Tarhan Akyüz, Ahmet Oğuz
Author_xml	– sequence: 1 givenname: Okan Tarhan surname: Tursun fullname: Tursun, Okan Tarhan organization: Dept. of Computer Engineering, Middle East Technical University, Turkey – sequence: 2 givenname: Ahmet Oğuz surname: Akyüz fullname: Akyüz, Ahmet Oğuz organization: Dept. of Computer Engineering, Middle East Technical University, Turkey – sequence: 3 givenname: Aykut surname: Erdem fullname: Erdem, Aykut organization: Dept. of Computer Engineering, Hacettepe University, Turkey – sequence: 4 givenname: Erkut surname: Erdem fullname: Erdem, Erkut organization: Dept. of Computer Engineering, Hacettepe University, Turkey
BookMark	eNp1kMFOGzEURS0EUgNlwR9Y6qZdDDzHY3ummyoKkFRCVCIhLC2P85w4HWbA9tDm7zsllAUq3tiWzrl67x6S_aZtkJATBqesP2d25U7ZUJR8jwxYLlVWSFHukwGw_q1AiA_kMMYNAORKigH5Nl8jnSWTkLaOpv4zCon6hk7Pb-g5rtZtTL5ZfaUjOuvCE26paZb04snUnUm-bT6SA2fqiMcv9xG5vbyYj6fZ1Y_J9_HoKrM5cJ45xQ0XCvKc5Q5tYZYFX1aVU6UrpGSVsxWyalk5sEKA5UNpS1AIAoelqLDkR-TzLvchtI8dxqTvfbRY16bBtouaKVUAlyCLHv30Bt20XWj66TSTJbBCgISeOttRNrQxBnTa-vS8UgrG15qB_luo7gvVz4X2xpc3xkPw9yZs_8u-pP_yNW7fB_V4cvnPyHaGjwl_vxom_NRScSX03fVEjxez6WI44ZrzP4bgk0k
CitedBy_id	crossref_primary_10_1109_ACCESS_2024_3383928 crossref_primary_10_1155_2019_8459896 crossref_primary_10_3390_s17071473 crossref_primary_10_1109_TCI_2023_3301338 crossref_primary_10_1109_ACCESS_2020_2970857 crossref_primary_10_1109_TCI_2024_3354649 crossref_primary_10_1016_j_jvcir_2023_103883 crossref_primary_10_1016_j_jvcir_2020_102903 crossref_primary_10_1109_TPAMI_2021_3123686 crossref_primary_10_1016_j_image_2017_02_003 crossref_primary_10_1109_TIP_2020_3004014 crossref_primary_10_1109_TIP_2016_2642790 crossref_primary_10_1109_TIP_2019_2940678 crossref_primary_10_1109_TIP_2021_3053465 crossref_primary_10_1186_s13640_015_0095_0 crossref_primary_10_3389_fenvs_2022_1009155 crossref_primary_10_3390_s22187044 crossref_primary_10_1002_lpor_202400483 crossref_primary_10_1109_JSEN_2025_3554806 crossref_primary_10_1109_TCSVT_2021_3129691 crossref_primary_10_1007_s11263_021_01535_y crossref_primary_10_1002_cta_4381 crossref_primary_10_1109_MSP_2016_2581848 crossref_primary_10_1364_AO_391150 crossref_primary_10_3390_s25030675 crossref_primary_10_1109_ACCESS_2019_2936491 crossref_primary_10_1109_TIP_2024_3497838 crossref_primary_10_1111_cgf_12818 crossref_primary_10_3390_s22207853 crossref_primary_10_1109_TPAMI_2024_3448620 crossref_primary_10_1007_s11042_018_6261_5 crossref_primary_10_4316_AECE_2020_03001 crossref_primary_10_1109_TIP_2020_2971346 crossref_primary_10_1109_TCI_2021_3112920 crossref_primary_10_3390_s25051497 crossref_primary_10_1016_j_cviu_2020_102929 crossref_primary_10_1007_s00371_023_03032_4 crossref_primary_10_1109_ACCESS_2020_3046268 crossref_primary_10_1007_s11554_020_01001_x crossref_primary_10_1109_TCSVT_2022_3190057 crossref_primary_10_1111_cgf_12690 crossref_primary_10_3390_computers8010015 crossref_primary_10_1109_TIP_2017_2731211 crossref_primary_10_1364_AO_57_007564 crossref_primary_10_3390_app15105339 crossref_primary_10_1109_TIP_2016_2585047 crossref_primary_10_1016_j_neucom_2020_11_056
Cites_doi	10.1214/aoms/1177704472 10.1145/2010324.1964965 10.1214/aoms/1177728190 10.5121/ijcga.2013.3403 10.1109/TMI.2003.815069 10.1145/882262.882270 10.1145/1015706.1015765 10.1145/566654.566575 10.1023/B:VISI.0000029664.99615.94 10.1145/1015706.1015718 10.1109/ISCE.2011.5973898 10.1145/2508363.2508391 10.1109/LSP.2014.2323404 10.1111/j.2044-8317.1951.tb00310.x 10.1007/s00371-011-0653-0 10.1145/2366145.2366222 10.1109/TCE.2011.5955242 10.1080/10867651.2003.10487583 10.1007/s11263-010-0390-2 10.1145/1882261.1866186 10.1145/566654.566573 10.1016/j.jvcir.2012.01.006 10.1201/b11373 10.1145/641007.641032 10.1109/TIP.2011.2170079 10.1109/MCG.2008.23 10.1145/358669.358692 10.5220/0001076300360041 10.1016/j.cag.2013.06.003 10.1016/0262-8856(95)01047-5 10.1016/j.fss.2006.09.011 10.1109/ICCV.1998.710815 10.1109/TCE.2006.1706464 10.1145/1531326.1531330 10.1109/34.969114 10.1109/TIP.2011.2160953 10.1016/j.image.2012.02.001 10.5220/0003840700310037 10.1109/TIP.2003.819222 10.1109/TPAMI.2003.1240119 10.1111/j.1467-8659.2011.01870.x 10.1145/2508363.2508410 10.1007/3-540-55426-2_27 10.1109/ICPR.2014.360 10.1109/TPAMI.2006.141 10.1007/978-3-540-74936-3_22 10.1109/ICIP.2009.5413665 10.1109/ICIP.2013.6738163 10.1093/biomet/48.1-2.95 10.1145/2508363.2508402 10.1109/TIP.2013.2283401 10.1109/TCOM.1983.1095851 10.1007/s11760-010-0203-7
ContentType	Journal Article
Copyright	2015 The Author(s) Computer Graphics Forum © 2015 The Eurographics Association and John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd. 2015 The Eurographics Association and John Wiley & Sons Ltd.
Copyright_xml	– notice: 2015 The Author(s) Computer Graphics Forum © 2015 The Eurographics Association and John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd. – notice: 2015 The Eurographics Association and John Wiley & Sons Ltd.
DBID	BSCLL AAYXX CITATION 7SC 8FD JQ2 L7M L~C L~D F28 FR3
DOI	10.1111/cgf.12593
DatabaseName	Istex CrossRef Computer and Information Systems Abstracts Technology Research Database ProQuest Computer Science Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional ANTE: Abstracts in New Technology & Engineering Engineering Research Database
DatabaseTitle	CrossRef Computer and Information Systems Abstracts Technology Research Database Computer and Information Systems Abstracts – Academic Advanced Technologies Database with Aerospace ProQuest Computer Science Collection Computer and Information Systems Abstracts Professional Engineering Research Database ANTE: Abstracts in New Technology & Engineering
DatabaseTitleList	CrossRef Technology Research Database Computer and Information Systems Abstracts
DeliveryMethod	fulltext_linktorsrc
Discipline	Engineering
EISSN	1467-8659
EndPage	707
ExternalDocumentID	3721827431 10_1111_cgf_12593 CGF12593 ark_67375_WNG_CVSHV2G3_3
Genre	article Feature
GroupedDBID	.3N .4S .DC .GA .Y3 05W 0R~ 10A 15B 1OB 1OC 29F 31~ 33P 3SF 4.4 50Y 50Z 51W 51X 52M 52N 52O 52P 52S 52T 52U 52W 52X 5GY 5HH 5LA 5VS 66C 6J9 702 7PT 8-0 8-1 8-3 8-4 8-5 8UM 8VB 930 A03 AAESR AAEVG AAHQN AAMMB AAMNL AANHP AANLZ AAONW AASGY AAXRX AAYCA AAZKR ABCQN ABCUV ABDBF ABDPE ABEML ABPVW ACAHQ ACBWZ ACCZN ACFBH ACGFS ACPOU ACRPL ACSCC ACUHS ACXBN ACXQS ACYXJ ADBBV ADEOM ADIZJ ADKYN ADMGS ADMLS ADNMO ADOZA ADXAS ADZMN AEFGJ AEGXH AEIGN AEIMD AEMOZ AENEX AEUYR AEYWJ AFBPY AFEBI AFFNX AFFPM AFGKR AFWVQ AFZJQ AGHNM AGQPQ AGXDD AGYGG AHBTC AHEFC AHQJS AIDQK AIDYY AIQQE AITYG AIURR AJXKR AKVCP ALAGY ALMA_UNASSIGNED_HOLDINGS ALUQN ALVPJ AMBMR AMYDB ARCSS ASPBG ATUGU AUFTA AVWKF AZBYB AZFZN AZVAB BAFTC BDRZF BFHJK BHBCM BMNLL BMXJE BNHUX BROTX BRXPI BSCLL BY8 CAG COF CS3 CWDTD D-E D-F DCZOG DPXWK DR2 DRFUL DRSTM DU5 EAD EAP EBA EBO EBR EBS EBU EDO EJD EMK EST ESX F00 F01 F04 F5P FEDTE FZ0 G-S G.N GODZA H.T H.X HF~ HGLYW HVGLF HZI HZ~ I-F IHE IX1 J0M K1G K48 LATKE LC2 LC3 LEEKS LH4 LITHE LOXES LP6 LP7 LUTES LW6 LYRES MEWTI MK4 MRFUL MRSTM MSFUL MSSTM MXFUL MXSTM N04 N05 N9A NF~ O66 O9- OIG P2W P2X P4D PALCI PQQKQ Q.N Q11 QB0 QWB R.K RDJ RIWAO RJQFR ROL RX1 SAMSI SUPJJ TH9 TN5 TUS UB1 V8K W8V W99 WBKPD WIH WIK WOHZO WQJ WXSBR WYISQ WZISG XG1 ZL0 ZZTAW ~IA ~IF ~WT AAYXX CITATION O8X 7SC 8FD JQ2 L7M L~C L~D F28 FR3
ID	FETCH-LOGICAL-c4033-f73a35704414fec8ad83dbbf79f8661bfcbe1bdbf0c550c326c907e05e295be93
IEDL.DBID	DRFUL
ISICitedReferencesCount	89
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000358326600062&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	0167-7055
IngestDate	Wed Oct 01 14:05:30 EDT 2025 Sun Nov 09 07:45:35 EST 2025 Sat Nov 29 07:48:17 EST 2025 Tue Nov 18 21:31:33 EST 2025 Tue Oct 28 04:18:46 EDT 2025 Sun Sep 21 06:17:35 EDT 2025
IsDoiOpenAccess	false
IsOpenAccess	true
IsPeerReviewed	true
IsScholarly	true
Issue	2
Language	English
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c4033-f73a35704414fec8ad83dbbf79f8661bfcbe1bdbf0c550c326c907e05e295be93
Notes	ark:/67375/WNG-CVSHV2G3-3 istex:28B9E6D7AC00D2AD8416FB9ED1368CA09FA6CBA4 ArticleID:CGF12593 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23
OpenAccessLink	https://hdl.handle.net/11511/35721
PQID	1690185060
PQPubID	30877
PageCount	25
ParticipantIDs	proquest_miscellaneous_1778036068 proquest_journals_1690185060 crossref_citationtrail_10_1111_cgf_12593 crossref_primary_10_1111_cgf_12593 wiley_primary_10_1111_cgf_12593_CGF12593 istex_primary_ark_67375_WNG_CVSHV2G3_3
PublicationCentury	2000
PublicationDate	2015-05 May 2015 2015-05-00 20150501
PublicationDateYYYYMMDD	2015-05-01
PublicationDate_xml	– month: 05 year: 2015 text: 2015-05
PublicationDecade	2010
PublicationPlace	Oxford
PublicationPlace_xml	– name: Oxford
PublicationTitle	Computer graphics forum
PublicationTitleAlternate	Computer Graphics Forum
PublicationYear	2015
Publisher	Blackwell Publishing Ltd
Publisher_xml	– name: Blackwell Publishing Ltd
References	Boykov Y., Veksler O., Zabih R.: Fast approximate energy minimization via graph cuts. Pattern Analysis and Machine Intelligence, IEEE Transactions on 23, 11 (2001), 1222-1239. 6, 9 Rosenblatt M., et al.: Remarks on some nonparametric estimates of a density function. The Annals of Mathematical Statistics 27, 3 (1956), 832-837. 9 Banterle F., Artusi A., Debattista K., Chalmers A.: Advanced High Dynamic Range Imaging: Theory and Practice, first edition ed. CRC Press (AK Peters), Natick, MA, 2011. 1 Sen P., Kalantari N.K., Yaesoubi M., Darabi S., Goldman D.B., Shechtman E.: Robust patchbased HDR reconstruction of dynamic scenes. ACM Trans. Graph. 31, 6 (2012), 203. 3, 4, 13, 14, 18, 19 Tomasi C., Manduchi R.: Bilateral filtering for gray and color images. In Computer Vision, 1998. Sixth Int. Conf. on (1998), IEEE, pp. 839-846. 9 Baker S., Scharstein D., Lewis J., Roth S., Black M.J., Szeliski R.: A database and evaluation methodology for optical flow. Int. Journal of Computer Vision 92, 1 (2011), 1-31. 3 Jinno T., Okuda M.: Multiple exposure fusion for high dynamic range image acquisition. Image Processing, IEEE Transactions on 21, 1 (2012), 358-365. 4, 11 Barnes C., Shechtman E., Finkelstein A., Goldman D.: PatchMatch: A randomized correspondence algorithm for structural image editing. ACM Trans. on Graphics 28, 3 (2009), 24. 13 Kang S.B., Uyttendaele M., Winder S., Szeliski R.: High dynamic range video. ACM Trans. on Graphics 22, 3 (2003), 319-325. 4, 13, 14 Zhang W., Cham W.K.: Referenceguided exposure fusion in dynamic scenes. Journal of Visual Communication and Image Representation 23, 3 (2012), 467-475. 4, 10 Raman S., Chaudhuri S.: Reconstruction of high contrast images for dynamic scenes. The Visual Computer 27, 12 (2011), 1099-1114. 4, 9 Grossberg M.D., Nayar S.K.: Determining the camera response from images: What is knowable? Pattern Analysis and Machine Intelligence, IEEE Transactions on 25, 11 (2003), 1455-1467. 2, 7, 13 Harris C., Stephens M.: A combined corner and edge detector. In Alvey vision Conf. (1988), vol. 15, Manchester, UK, p. 50. 14 Srikantha A., Sidibé D.: Ghost detection and removal for high dynamic range images: Recent advances. Signal Processing: Image Communication 27, 6 (2012), 650-662. 3 HaCohen Y., Shechtman E., Goldman D.B., Lischinski D.: Nonrigid dense correspondence with applications for image enhancement. ACM Trans. on Graphics 30, 4 (2011), 70. 12 Liu Y., Wang J., Cho S., Finkelstein A., Rusinkiewicz S.: A noreference metric for evaluating the quality of motion deblurring. ACM Trans. Graph. 32, 6 (2013), 175. 3, 21, 22 Hafner D., Demetz O., Weickert J.: Simultaneous HDR and optic flow computation. In Pattern Recognition (ICPR 2014), Proc. 22nd Int. Conf. on (2014), IEEE. 4, 12 Reinhard E., Ward G., Pattanaik S., Debevec P.: High Dynamic Range Imaging: Acquisition, Display and ImageBased Lighting, second edition ed. Morgan Kaufmann, San Francisco, 2010. 1, 4, 7, 8 Periaswamy S., Farid H.: Elastic registration in the presence of intensity variations. Medical Imaging, IEEE Transactions on 22, 7 (2003), 865-874. 5 Kalantari N.K., Shechtman E., Barnes C., Darabi S., Goldman D.B., Sen P.: Patchbased high dynamic range video. ACM Trans. Graph. 32, 6 (2013). 4, 14 Sung H.S., Park R.H., Lee D.K., Chang S.: Feature based ghost removal in high dynamic range imaging. Int. Journal of Computer Graphics & Animation 3, 4 (2013). 4, 10 Zheng J., Li Z., Zhu Z., Wu S., Rahardja S.: Hybrid patching for a sequence of differently exposed images with moving objects. Image Processing, IEEE Transactions on 22, 12 (2013), 5190-5201. 4, 13 Yang G.Z., Burger P., Firmin D.N., Underwood S.: Structure adaptive anisotropic image filtering. Image and Vision Computing 14, 2 (1996), 135-145. 9 Agarwala A., Dontcheva M., Agrawala M., Drucker S., Colburn A., Curless B., Salesin D., Cohen M.: Interactive digital photomontage. ACM Trans. on Graphics 23, 3 (2004), 294-302. 5 Granados M., Kim K.I., Tompkin J., Theobalt C.: Automatic noise modeling for ghostfree HDR reconstruction. ACM Trans. on Graphics 32, 6 (2013), 201. 4, 10 Ward G.: Fast, robust image registration for compositing high dynamic range photographs from handheld exposures. Journal of graphics tools 8, 2 (2003), 17-30. 4, 7, 8, 14, 15 Kovesi P.: Image features from phase congruency. Videre: Jrnl. of computer vision research 1, 3 (1999), 1-26. 5 IM J., Lee S., Paik J.: Improved elastic registration for removing ghost artifacts in high dynamic imaging. Consumer Electronics, IEEE Transactions on 57, 2 (2011), 932-935. 4, 5 Oğuz Akyüz A., Genctav A.: A reality check for radiometric camera response recovery algorithms. Computers & Graphics 37, 7 (2013), 935-943. 2 Lee C., Li Y., Monga V.: Ghostfree high dynamic range imaging via rank minimization. Signal Processing Letters, IEEE 21, 9 (2014), 1045-1049. 4, 10 Eden A., Uyttendaele M., Szeliski R.: Seamless image stitching of scenes with large motions and exposure differences. In Computer Vision and Pattern Recognition, IEEE Computer Soc. Conf. on (2006), vol. 2, pp. 2498-2505. 4, 5 Candocia F.M.: Simultaneous homographic and comparametric alignment of multiple exposureadjusted pictures of the same scene. Image Processing, IEEE Transactions on 12, 12 (2003), 1485-1494. 4 Fattal R., Lischinski D., Werman M.: Gradient domain high dynamic range compression. ACM Trans. on Graphics 21, 3 (2002), 249-256. 8 Lucas B.D., Kanade T., et al.: An iterative image registration technique with an application to stereo vision. In IJCAI (1981), vol. 81, pp. 674-679. 13 Matsushita Y., Ofek E., Ge W., Tang X., Shum H.Y.: Fullframe video stabilization with motion inpainting. Pattern Analysis and Machine Intelligence, IEEE Transactions on 28, 7 (2006), 1150-1163. 14 Rubinstein M., Gutierrez D., Sorkine O., Shamir A.: A comparative study of image retargeting. ACM Trans. Graph. 29, 6 (2010). 3, 14, 15 Kao W.C., Hsu C.C., Chen L.Y., Kao C.C., CHEN S.H.: Integrating image fusion and motion stabilization for capturing still images in high dynamic range scenes. Consumer Electronics, IEEE Transactions on 52, 3 (2006), 735-741. 4, 7 Comby F., Strauss O.: Using quasicontinuous histograms for fuzzy main motion estimation in video sequence. Fuzzy Sets and Systems 158, 5 (2007), 475-495. 6 Min T.H., Park R.H., Chang S.: Noise reduction in high dynamic range images. Signal, Image and Video Processing 5, 3 (2011), 315-328. 4, 8, 9 Reinhard E., Stark M., Shirley P., Ferwerda J.: Photographic tone reproduction for digital images. ACM Trans. on Graphics 21, 3 (2002), 267-276. Durbin J.: Incomplete blocks in ranking experiments. British Journal of Statistical Psychology 4, 2 (1951), 85-90. 17 Jacobs K., Loscos C., Ward G.: Automatic highdynamic range image generation for dynamic scenes. IEEE Computer Graphics and Applications 28, 2 (2008), 84-93. 4, 7, 8, 13 Lowe D.G.: Distinctive image features from scaleinvariant keypoints. Int. journal of computer vision 60, 2 (2004), 91-110. 5 Burt P.J., Adelson E.H.: The laplacian pyramid as a compact image code. Communications, IEEE Transactions on 31, 4 (1983), 532-540. 11, 15 Sand P., Teller S.: Video matching. ACM Trans. on Graphics 23, 3 (2004), 592-599. 4, 14 Zimmer H., Bruhn A., Weickert J.: Freehand HDR imaging of moving scenes with simultaneous resolution enhancement. Computer Graphics Forum 30, 2 (2011), 405-414. 3, 4, 11, 12 Zhang W., Cham W.K.: Gradientdirected multiexposure composition. Image Processing, IEEE Transactions on 21, 4 (2012), 2318-2323. 4, 6, 10 Fischler M.A., Bolles R.C.: Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM 24, 6 (1981), 381-395. 5, 12 2013; 3 2004; 60 2013; 2 2013; 22 2000; 3 2004; 23 2011; 57 1951; 4 2014; 21 2003; 12 1981; 81 2001 2010; 29 2006; 28 2003; 8 2008; 28 2003; 2 2012; 27 2007; 1 2011; 27 2012; 23 2012; 21 2006; 52 2012 2011 2010 1988; 15 1983; 31 2009 1998 1997 1981; 24 2008 2011; 30 2007 2006 1994 2006; 3 1993 1999; 3 1992 2006; 2 1999; 1 2002 1996; 14 2001; 23 2011; 5 2012; 31 2009; 28 2007; 158 2013; 37 2013; 32 2011; 92 2002; 21 2003; 25 1956; 27 1962 2005; 1 1961 2014 2013 2003; 22 e_1_2_8_49_2 e_1_2_8_45_2 Pece F. (e_1_2_8_80_2) 2010 e_1_2_8_26_2 Brown M. (e_1_2_8_10_2) 2003 Tursun O.T. (e_1_2_8_103_2) 2014 e_1_2_8_5_2 KaraduzovicHadziabdic K. (e_1_2_8_50_2) 2013 e_1_2_8_41_2 e_1_2_8_87_2 Srikantha A. (e_1_2_8_101_2) 2012 e_1_2_8_60_2 e_1_2_8_113_2 e_1_2_8_38_2 Mertens T. (e_1_2_8_64_2) 2007 e_1_2_8_19_2 e_1_2_8_15_2 e_1_2_8_57_2 Robertson M.A. (e_1_2_8_83_2) 1999 Harris C. (e_1_2_8_40_2) 1988; 15 Mitsunaga T. (e_1_2_8_66_2) 1999 Eden A. (e_1_2_8_24_2) 2006; 2 e_1_2_8_95_2 e_1_2_8_120_2 Lucas B.D. (e_1_2_8_55_2) 1981; 81 e_1_2_8_99_2 Raman S. (e_1_2_8_85_2) 2010 e_1_2_8_105_2 e_1_2_8_53_2 Yoo Y. (e_1_2_8_112_2) 2010 e_1_2_8_25_2 e_1_2_8_67_2 Rad A.A. (e_1_2_8_89_2) 2007 Debevec P.E. (e_1_2_8_22_2) 1997 Hu J. (e_1_2_8_37_2) 2012 Bogoni L. (e_1_2_8_11_2) 2000 Reinhard E. (e_1_2_8_91_2) 2010 e_1_2_8_2_2 Orozco R.R. (e_1_2_8_76_2) 2012 e_1_2_8_6_2 Mangiat S. (e_1_2_8_63_2) 2011 Gallo O. (e_1_2_8_30_2) 2009 e_1_2_8_21_2 e_1_2_8_86_2 e_1_2_8_118_2 e_1_2_8_82_2 e_1_2_8_14_2 e_1_2_8_56_2 e_1_2_8_79_2 Raman S. (e_1_2_8_88_2) 2009 Heo Y.S. (e_1_2_8_39_2) 2010 Yao S. (e_1_2_8_110_2) 2011 Gevrekci M. (e_1_2_8_29_2) 2007 e_1_2_8_90_2 e_1_2_8_94_2 e_1_2_8_98_2 e_1_2_8_33_2 e_1_2_8_52_2 e_1_2_8_75_2 e_1_2_8_106_2 Park S.C. (e_1_2_8_81_2) 2011 e_1_2_8_71_2 e_1_2_8_102_2 Granados M. (e_1_2_8_34_2) 2008 Shirahatti N.V. (e_1_2_8_92_2) 2005 Simakov D. (e_1_2_8_93_2) 2008 e_1_2_8_119_2 e_1_2_8_47_2 Khan E.A. (e_1_2_8_48_2) 2006 e_1_2_8_3_2 e_1_2_8_7_2 e_1_2_8_20_2 e_1_2_8_115_2 e_1_2_8_43_2 e_1_2_8_111_2 e_1_2_8_17_2 Granados M. (e_1_2_8_28_2) 2010 Wu S. (e_1_2_8_109_2) 2010 e_1_2_8_78_2 Zheng J. (e_1_2_8_117_2) 2012 Min T.H. (e_1_2_8_70_2) 2009 e_1_2_8_32_2 e_1_2_8_74_2 e_1_2_8_107_2 Hossain I. (e_1_2_8_36_2) 2011 e_1_2_8_27_2 e_1_2_8_23_2 e_1_2_8_46_2 e_1_2_8_69_2 Im J. (e_1_2_8_44_2) 2011 Silk S. (e_1_2_8_97_2) 2012 Chapiro A. (e_1_2_8_18_2) 2011 Zhang W. (e_1_2_8_114_2) 2010 Malm H. (e_1_2_8_68_2) 2007 e_1_2_8_8_2 e_1_2_8_42_2 e_1_2_8_65_2 Malm H. (e_1_2_8_73_2) 2006 e_1_2_8_116_2 Kovesi P. (e_1_2_8_51_2) 1999; 1 e_1_2_8_61_2 e_1_2_8_84_2 Burt P.J. (e_1_2_8_9_2) 1993 LI Z. (e_1_2_8_59_2) 2010 e_1_2_8_16_2 e_1_2_8_12_2 e_1_2_8_35_2 e_1_2_8_58_2 An J. (e_1_2_8_4_2) 2011 Mangiat S. (e_1_2_8_62_2) 2010 Tombari F. (e_1_2_8_104_2) 2007 e_1_2_8_96_2 e_1_2_8_31_2 e_1_2_8_54_2 e_1_2_8_77_2 Barnes C. (e_1_2_8_13_2) 2010 Moon Y.S. (e_1_2_8_72_2) 2012 e_1_2_8_100_2 Wang C. (e_1_2_8_108_2) 2013
References_xml	– reference: Baker S., Scharstein D., Lewis J., Roth S., Black M.J., Szeliski R.: A database and evaluation methodology for optical flow. Int. Journal of Computer Vision 92, 1 (2011), 1-31. 3 – reference: Matsushita Y., Ofek E., Ge W., Tang X., Shum H.Y.: Fullframe video stabilization with motion inpainting. Pattern Analysis and Machine Intelligence, IEEE Transactions on 28, 7 (2006), 1150-1163. 14 – reference: Oğuz Akyüz A., Genctav A.: A reality check for radiometric camera response recovery algorithms. Computers & Graphics 37, 7 (2013), 935-943. 2 – reference: Zhang W., Cham W.K.: Referenceguided exposure fusion in dynamic scenes. Journal of Visual Communication and Image Representation 23, 3 (2012), 467-475. 4, 10 – reference: Zheng J., Li Z., Zhu Z., Wu S., Rahardja S.: Hybrid patching for a sequence of differently exposed images with moving objects. Image Processing, IEEE Transactions on 22, 12 (2013), 5190-5201. 4, 13 – reference: Sen P., Kalantari N.K., Yaesoubi M., Darabi S., Goldman D.B., Shechtman E.: Robust patchbased HDR reconstruction of dynamic scenes. ACM Trans. Graph. 31, 6 (2012), 203. 3, 4, 13, 14, 18, 19 – reference: Min T.H., Park R.H., Chang S.: Noise reduction in high dynamic range images. Signal, Image and Video Processing 5, 3 (2011), 315-328. 4, 8, 9 – reference: Rosenblatt M., et al.: Remarks on some nonparametric estimates of a density function. The Annals of Mathematical Statistics 27, 3 (1956), 832-837. 9 – reference: Comby F., Strauss O.: Using quasicontinuous histograms for fuzzy main motion estimation in video sequence. Fuzzy Sets and Systems 158, 5 (2007), 475-495. 6 – reference: Candocia F.M.: Simultaneous homographic and comparametric alignment of multiple exposureadjusted pictures of the same scene. Image Processing, IEEE Transactions on 12, 12 (2003), 1485-1494. 4 – reference: Periaswamy S., Farid H.: Elastic registration in the presence of intensity variations. Medical Imaging, IEEE Transactions on 22, 7 (2003), 865-874. 5 – reference: Sung H.S., Park R.H., Lee D.K., Chang S.: Feature based ghost removal in high dynamic range imaging. Int. Journal of Computer Graphics & Animation 3, 4 (2013). 4, 10 – reference: Eden A., Uyttendaele M., Szeliski R.: Seamless image stitching of scenes with large motions and exposure differences. In Computer Vision and Pattern Recognition, IEEE Computer Soc. Conf. on (2006), vol. 2, pp. 2498-2505. 4, 5 – reference: Agarwala A., Dontcheva M., Agrawala M., Drucker S., Colburn A., Curless B., Salesin D., Cohen M.: Interactive digital photomontage. ACM Trans. on Graphics 23, 3 (2004), 294-302. 5 – reference: Durbin J.: Incomplete blocks in ranking experiments. British Journal of Statistical Psychology 4, 2 (1951), 85-90. 17 – reference: Zhang W., Cham W.K.: Gradientdirected multiexposure composition. Image Processing, IEEE Transactions on 21, 4 (2012), 2318-2323. 4, 6, 10 – reference: Raman S., Chaudhuri S.: Reconstruction of high contrast images for dynamic scenes. The Visual Computer 27, 12 (2011), 1099-1114. 4, 9 – reference: Kalantari N.K., Shechtman E., Barnes C., Darabi S., Goldman D.B., Sen P.: Patchbased high dynamic range video. ACM Trans. Graph. 32, 6 (2013). 4, 14 – reference: Kao W.C., Hsu C.C., Chen L.Y., Kao C.C., CHEN S.H.: Integrating image fusion and motion stabilization for capturing still images in high dynamic range scenes. Consumer Electronics, IEEE Transactions on 52, 3 (2006), 735-741. 4, 7 – reference: Hafner D., Demetz O., Weickert J.: Simultaneous HDR and optic flow computation. In Pattern Recognition (ICPR 2014), Proc. 22nd Int. Conf. on (2014), IEEE. 4, 12 – reference: Rubinstein M., Gutierrez D., Sorkine O., Shamir A.: A comparative study of image retargeting. ACM Trans. Graph. 29, 6 (2010). 3, 14, 15 – reference: Liu Y., Wang J., Cho S., Finkelstein A., Rusinkiewicz S.: A noreference metric for evaluating the quality of motion deblurring. ACM Trans. Graph. 32, 6 (2013), 175. 3, 21, 22 – reference: Barnes C., Shechtman E., Finkelstein A., Goldman D.: PatchMatch: A randomized correspondence algorithm for structural image editing. ACM Trans. on Graphics 28, 3 (2009), 24. 13 – reference: Jacobs K., Loscos C., Ward G.: Automatic highdynamic range image generation for dynamic scenes. IEEE Computer Graphics and Applications 28, 2 (2008), 84-93. 4, 7, 8, 13 – reference: Jinno T., Okuda M.: Multiple exposure fusion for high dynamic range image acquisition. Image Processing, IEEE Transactions on 21, 1 (2012), 358-365. 4, 11 – reference: Zimmer H., Bruhn A., Weickert J.: Freehand HDR imaging of moving scenes with simultaneous resolution enhancement. Computer Graphics Forum 30, 2 (2011), 405-414. 3, 4, 11, 12 – reference: Burt P.J., Adelson E.H.: The laplacian pyramid as a compact image code. Communications, IEEE Transactions on 31, 4 (1983), 532-540. 11, 15 – reference: Harris C., Stephens M.: A combined corner and edge detector. In Alvey vision Conf. (1988), vol. 15, Manchester, UK, p. 50. 14 – reference: Kovesi P.: Image features from phase congruency. Videre: Jrnl. of computer vision research 1, 3 (1999), 1-26. 5 – reference: Lowe D.G.: Distinctive image features from scaleinvariant keypoints. Int. journal of computer vision 60, 2 (2004), 91-110. 5 – reference: Grossberg M.D., Nayar S.K.: Determining the camera response from images: What is knowable? Pattern Analysis and Machine Intelligence, IEEE Transactions on 25, 11 (2003), 1455-1467. 2, 7, 13 – reference: Sand P., Teller S.: Video matching. ACM Trans. on Graphics 23, 3 (2004), 592-599. 4, 14 – reference: Lucas B.D., Kanade T., et al.: An iterative image registration technique with an application to stereo vision. In IJCAI (1981), vol. 81, pp. 674-679. 13 – reference: Banterle F., Artusi A., Debattista K., Chalmers A.: Advanced High Dynamic Range Imaging: Theory and Practice, first edition ed. CRC Press (AK Peters), Natick, MA, 2011. 1 – reference: IM J., Lee S., Paik J.: Improved elastic registration for removing ghost artifacts in high dynamic imaging. Consumer Electronics, IEEE Transactions on 57, 2 (2011), 932-935. 4, 5 – reference: Reinhard E., Stark M., Shirley P., Ferwerda J.: Photographic tone reproduction for digital images. ACM Trans. on Graphics 21, 3 (2002), 267-276. – reference: Ward G.: Fast, robust image registration for compositing high dynamic range photographs from handheld exposures. Journal of graphics tools 8, 2 (2003), 17-30. 4, 7, 8, 14, 15 – reference: Granados M., Kim K.I., Tompkin J., Theobalt C.: Automatic noise modeling for ghostfree HDR reconstruction. ACM Trans. on Graphics 32, 6 (2013), 201. 4, 10 – reference: HaCohen Y., Shechtman E., Goldman D.B., Lischinski D.: Nonrigid dense correspondence with applications for image enhancement. ACM Trans. on Graphics 30, 4 (2011), 70. 12 – reference: Kang S.B., Uyttendaele M., Winder S., Szeliski R.: High dynamic range video. ACM Trans. on Graphics 22, 3 (2003), 319-325. 4, 13, 14 – reference: Reinhard E., Ward G., Pattanaik S., Debevec P.: High Dynamic Range Imaging: Acquisition, Display and ImageBased Lighting, second edition ed. Morgan Kaufmann, San Francisco, 2010. 1, 4, 7, 8 – reference: Tomasi C., Manduchi R.: Bilateral filtering for gray and color images. In Computer Vision, 1998. Sixth Int. Conf. on (1998), IEEE, pp. 839-846. 9 – reference: Yang G.Z., Burger P., Firmin D.N., Underwood S.: Structure adaptive anisotropic image filtering. Image and Vision Computing 14, 2 (1996), 135-145. 9 – reference: Fischler M.A., Bolles R.C.: Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM 24, 6 (1981), 381-395. 5, 12 – reference: Fattal R., Lischinski D., Werman M.: Gradient domain high dynamic range compression. ACM Trans. on Graphics 21, 3 (2002), 249-256. 8 – reference: Boykov Y., Veksler O., Zabih R.: Fast approximate energy minimization via graph cuts. Pattern Analysis and Machine Intelligence, IEEE Transactions on 23, 11 (2001), 1222-1239. 6, 9 – reference: Lee C., Li Y., Monga V.: Ghostfree high dynamic range imaging via rank minimization. Signal Processing Letters, IEEE 21, 9 (2014), 1045-1049. 4, 10 – reference: Srikantha A., Sidibé D.: Ghost detection and removal for high dynamic range images: Recent advances. Signal Processing: Image Communication 27, 6 (2012), 650-662. 3 – year: 2011 – volume: 3 start-page: 954 year: 2006 end-page: 959 – volume: 92 start-page: 1 issue: 1 year: 2011 end-page: 31 article-title: A database and evaluation methodology for optical flow publication-title: Int. Journal of Computer Vision – start-page: 106 year: 2001 end-page: 107 – start-page: 173 year: 1993 end-page: 182 – start-page: 376 year: 2007 end-page: 381 – volume: 3 start-page: 159 year: 1999 end-page: 163 – year: 2014 – start-page: 85 year: 2012 end-page: 92 – volume: 30 start-page: 70 issue: 4 year: 2011 article-title: Nonrigid dense correspondence with applications for image enhancement publication-title: ACM Trans. on Graphics – start-page: 499 year: 2012 end-page: 512 – volume: 14 start-page: 135 issue: 2 year: 1996 end-page: 145 article-title: Structure adaptive anisotropic image filtering publication-title: Image and Vision Computing – volume: 8 start-page: 17 issue: 2 year: 2003 end-page: 30 article-title: Fast, robust image registration for compositing high dynamic range photographs from handheld exposures publication-title: Journal of graphics tools – volume: 31 start-page: 532 issue: 4 year: 1983 end-page: 540 article-title: The laplacian pyramid as a compact image code publication-title: Communications, IEEE Transactions on – start-page: 33 year: 2011 – volume: 158 start-page: 475 issue: 5 year: 2007 end-page: 495 article-title: Using quasicontinuous histograms for fuzzy main motion estimation in video sequence publication-title: Fuzzy Sets and Systems – volume: 27 start-page: 1099 issue: 12 year: 2011 end-page: 1114 article-title: Reconstruction of high contrast images for dynamic scenes publication-title: The Visual Computer – start-page: 790 year: 2013 end-page: 794 – volume: 21 start-page: 2318 issue: 4 year: 2012 end-page: 2323 article-title: Gradientdirected multiexposure composition publication-title: Image Processing, IEEE Transactions on – start-page: 1065 year: 1962 end-page: 1076 – volume: 23 start-page: 1222 issue: 11 year: 2001 end-page: 1239 article-title: Fast approximate energy minimization via graph cuts publication-title: Pattern Analysis and Machine Intelligence, IEEE Transactions on – volume: 28 start-page: 24 issue: 3 year: 2009 article-title: PatchMatch: A randomized correspondence algorithm for structural image editing publication-title: ACM Trans. on Graphics – start-page: 353 year: 2011 end-page: 356 – volume: 29 issue: 6 year: 2010 article-title: A comparative study of image retargeting publication-title: ACM Trans. Graph – start-page: 73 year: 2011 end-page: 74 – start-page: 1 year: 2007 end-page: 8 – volume: 5 start-page: 315 issue: 3 year: 2011 end-page: 328 article-title: Noise reduction in high dynamic range images publication-title: Signal, Image and Video Processing – year: 2007 – start-page: 237 year: 1992 end-page: 252 – start-page: 1275 year: 2014 end-page: 1278 – start-page: 530 year: 2009 end-page: 533 – volume: 37 start-page: 935 issue: 7 year: 2013 end-page: 943 article-title: A reality check for radiometric camera response recovery algorithms publication-title: Computers & Graphics – start-page: 1317 year: 2011 end-page: 1320 – start-page: 277 year: 2006 end-page: 284 – year: 1992 – start-page: 530 year: 2010 end-page: 536 – volume: 21 start-page: 1045 issue: 9 year: 2014 end-page: 1049 article-title: Ghostfree high dynamic range imaging via rank minimization publication-title: Signal Processing Letters, IEEE – year: 2010 – volume: 2 year: 2003 – volume: 21 start-page: 267 issue: 3 year: 2002 end-page: 276 article-title: Photographic tone reproduction for digital images publication-title: ACM Trans. on Graphics – volume: 30 start-page: 405 issue: 2 year: 2011 end-page: 414 article-title: Freehand HDR imaging of moving scenes with simultaneous resolution enhancement publication-title: Computer Graphics Forum – start-page: 75 year: 2011 end-page: 76 – start-page: 1 year: 2008 end-page: 8 – volume: 23 start-page: 294 issue: 3 year: 2004 end-page: 302 article-title: Interactive digital photomontage publication-title: ACM Trans. on Graphics – volume: 21 start-page: 249 issue: 3 year: 2002 end-page: 256 article-title: Gradient domain high dynamic range compression publication-title: ACM Trans. on Graphics – volume: 1 year: 2007 – start-page: 33 year: 2008 end-page: 40 – volume: 31 start-page: 203 issue: 6 year: 2012 article-title: Robust patchbased HDR reconstruction of dynamic scenes publication-title: ACM Trans. Graph – start-page: 380 year: 2012 end-page: 383 – start-page: 44 year: 2009 – start-page: 839 year: 1998 end-page: 846 – start-page: 95 year: 1961 end-page: 108 – volume: 60 start-page: 91 issue: 2 year: 2004 end-page: 110 article-title: Distinctive image features from scaleinvariant keypoints publication-title: Int. journal of computer vision – start-page: 357 year: 2011 end-page: 360 – volume: 25 start-page: 1455 issue: 11 year: 2003 end-page: 1467 article-title: Determining the camera response from images: What is knowable? publication-title: Pattern Analysis and Machine Intelligence, IEEE Transactions on – start-page: 4305 year: 2009 end-page: 4308 – year: 2013 – year: 2009 – start-page: 127 year: 2007 end-page: 134 – volume: 28 start-page: 1150 issue: 7 year: 2006 end-page: 1163 article-title: Fullframe video stabilization with motion inpainting publication-title: Pattern Analysis and Machine Intelligence, IEEE Transactions on – volume: 81 start-page: 674 year: 1981 end-page: 679 article-title: An iterative image registration technique with an application to stereo vision publication-title: IJCAI – volume: 27 start-page: 832 issue: 3 year: 1956 end-page: 837 article-title: Remarks on some nonparametric estimates of a density function publication-title: The Annals of Mathematical Statistics – volume: 12 start-page: 1485 issue: 12 year: 2003 end-page: 1494 article-title: Simultaneous homographic and comparametric alignment of multiple exposureadjusted pictures of the same scene publication-title: Image Processing, IEEE Transactions on – volume: 23 start-page: 467 issue: 3 year: 2012 end-page: 475 article-title: Referenceguided exposure fusion in dynamic scenes publication-title: Journal of Visual Communication and Image Representation – start-page: 56 year: 2010 end-page: 63 – volume: 1 start-page: 955 year: 2005 end-page: 961 – start-page: 117 year: 2002 end-page: 126 – volume: 3 issue: 4 year: 2013 article-title: Feature based ghost removal in high dynamic range imaging publication-title: Int. Journal of Computer Graphics & Animation – start-page: 397 year: 2010 end-page: 400 – year: 1994 – volume: 4 start-page: 85 issue: 2 year: 1951 end-page: 90 article-title: Incomplete blocks in ranking experiments publication-title: British Journal of Statistical Psychology – volume: 57 start-page: 932 issue: 2 year: 2011 end-page: 935 article-title: Improved elastic registration for removing ghost artifacts in high dynamic imaging publication-title: Consumer Electronics, IEEE Transactions on – volume: 24 start-page: 381 issue: 6 year: 1981 end-page: 395 article-title: Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography publication-title: Communications of the ACM – volume: 32 issue: 6 year: 2013 article-title: Patchbased high dynamic range video publication-title: ACM Trans. Graph – start-page: 382 year: 2007 end-page: 390 – start-page: 31 year: 2012 end-page: 37 – volume: 3 start-page: 7 year: 2000 end-page: 12 – volume: 27 start-page: 650 issue: 6 year: 2012 end-page: 662 article-title: Ghost detection and removal for high dynamic range images: Recent advances publication-title: Signal Processing: Image Communication – volume: 23 start-page: 592 issue: 3 year: 2004 end-page: 599 article-title: Video matching publication-title: ACM Trans. on Graphics – start-page: 1565 year: 2011 end-page: 1568 – volume: 32 start-page: 175 issue: 6 year: 2013 article-title: A noreference metric for evaluating the quality of motion deblurring publication-title: ACM Trans. Graph – volume: 52 start-page: 735 issue: 3 year: 2006 end-page: 741 article-title: Integrating image fusion and motion stabilization for capturing still images in high dynamic range scenes publication-title: Consumer Electronics, IEEE Transactions on – volume: 28 start-page: 84 issue: 2 year: 2008 end-page: 93 article-title: Automatic highdynamic range image generation for dynamic scenes publication-title: IEEE Computer Graphics and Applications – volume: 22 start-page: 319 issue: 3 year: 2003 end-page: 325 article-title: High dynamic range video publication-title: ACM Trans. on Graphics – start-page: 214 year: 2007 end-page: 223 – volume: 15 start-page: 50 year: 1988 article-title: A combined corner and edge detector publication-title: Alvey vision Conf – volume: 22 start-page: 865 issue: 7 year: 2003 end-page: 874 article-title: Elastic registration in the presence of intensity variations publication-title: Medical Imaging, IEEE Transactions on – start-page: 1 year: 2009 end-page: 7 – volume: 2 start-page: 2498 year: 2006 end-page: 2505 article-title: Seamless image stitching of scenes with large motions and exposure differences publication-title: Computer Vision and Pattern Recognition, IEEE Computer Soc. Conf. on – volume: 22 start-page: 5190 issue: 12 year: 2013 end-page: 5201 article-title: Hybrid patching for a sequence of differently exposed images with moving objects publication-title: Image Processing, IEEE Transactions on – volume: 32 start-page: 201 issue: 6 year: 2013 article-title: Automatic noise modeling for ghostfree HDR reconstruction publication-title: ACM Trans. on Graphics – start-page: 9 year: 2012 end-page: 10 – start-page: 215 year: 2010 end-page: 222 – start-page: 369 year: 1997 end-page: 378 – year: 2012 – start-page: 1 year: 2010 end-page: 8 – start-page: 486 year: 2010 end-page: 500 – volume: 1 year: 1999 – year: 2006 – volume: 21 start-page: 358 issue: 1 year: 2012 end-page: 365 article-title: Multiple exposure fusion for high dynamic range image acquisition publication-title: Image Processing, IEEE Transactions on – start-page: 2005 year: 2006 end-page: 2008 – start-page: 36 year: 2008 end-page: 41 – volume: 2 start-page: 904 year: 2013 end-page: 909 – volume: 1 start-page: 1 issue: 3 year: 1999 end-page: 26 article-title: Image features from phase congruency publication-title: Videre: Jrnl. of computer vision research – start-page: 3133 year: 2010 end-page: 3136 – start-page: 29 year: 2010 end-page: 43 – start-page: 586 year: 2011 end-page: 591 – start-page: 21 year: 2013 end-page: 28 – start-page: 62 year: 2012 – ident: e_1_2_8_77_2 doi: 10.1214/aoms/1177704472 – volume-title: IS&T/SPIE Electronic Imaging year: 2011 ident: e_1_2_8_36_2 – ident: e_1_2_8_41_2 doi: 10.1145/2010324.1964965 – start-page: 56 volume-title: Proceedings of the Seventh Indian Conf. on Computer Vision, Graphics and Image Processing year: 2010 ident: e_1_2_8_85_2 – volume-title: Acoustics, Speech and Signal Processing, IEEE Int. Conf. on year: 2007 ident: e_1_2_8_29_2 – start-page: 486 volume-title: Computer VisionACCV year: 2010 ident: e_1_2_8_39_2 – volume-title: Proceedings of the 9th IEEE Int. Conf. on Computer Vision  Volume year: 2003 ident: e_1_2_8_10_2 – ident: e_1_2_8_43_2 – ident: e_1_2_8_82_2 doi: 10.1214/aoms/1177728190 – ident: e_1_2_8_98_2 doi: 10.5121/ijcga.2013.3403 – start-page: 376 volume-title: Image Analysis and Processing, 14th Int. Conf. on year: 2007 ident: e_1_2_8_104_2 – start-page: 7 volume-title: Pattern Recognition, 15th Int. Conf. on year: 2000 ident: e_1_2_8_11_2 – ident: e_1_2_8_61_2 – ident: e_1_2_8_78_2 doi: 10.1109/TMI.2003.815069 – start-page: 1 volume-title: Computer Vision and Pattern Recognition, IEEE Conf. on year: 2008 ident: e_1_2_8_93_2 – ident: e_1_2_8_53_2 doi: 10.1145/882262.882270 – ident: e_1_2_8_102_2 doi: 10.1145/1015706.1015765 – start-page: 3133 volume-title: Image Processing (ICIP), 17th IEEE Int. Conf. on year: 2010 ident: e_1_2_8_59_2 – start-page: 85 volume-title: Proceedings of Graphics Interface year: 2012 ident: e_1_2_8_97_2 – ident: e_1_2_8_90_2 doi: 10.1145/566654.566575 – ident: e_1_2_8_57_2 doi: 10.1023/B:VISI.0000029664.99615.94 – ident: e_1_2_8_3_2 – start-page: 21 volume-title: Spring Conf. on Computer Graphics year: 2013 ident: e_1_2_8_50_2 – ident: e_1_2_8_2_2 doi: 10.1145/1015706.1015718 – start-page: 1565 volume-title: Acoustics, Speech and Signal Processing (ICASSP), IEEE Int. Conf. on year: 2011 ident: e_1_2_8_4_2 – ident: e_1_2_8_58_2 doi: 10.1109/ISCE.2011.5973898 – ident: e_1_2_8_60_2 doi: 10.1145/2508363.2508391 – start-page: 382 volume-title: Computer Graphics and Applications, 15th Pacific Conf. on year: 2007 ident: e_1_2_8_64_2 – ident: e_1_2_8_56_2 doi: 10.1109/LSP.2014.2323404 – start-page: 33 volume-title: ACM SIGGRAPH Posters year: 2011 ident: e_1_2_8_18_2 – ident: e_1_2_8_23_2 doi: 10.1111/j.2044-8317.1951.tb00310.x – start-page: 9 volume-title: Consumer Electronics (ICCE), IEEE Int. Conf. on year: 2012 ident: e_1_2_8_72_2 – ident: e_1_2_8_86_2 doi: 10.1007/s00371-011-0653-0 – volume-title: Electronic Imaging year: 2007 ident: e_1_2_8_89_2 – ident: e_1_2_8_5_2 – volume-title: SPIE Photonics Europe year: 2012 ident: e_1_2_8_76_2 – ident: e_1_2_8_96_2 doi: 10.1145/2366145.2366222 – ident: e_1_2_8_45_2 doi: 10.1109/TCE.2011.5955242 – ident: e_1_2_8_107_2 doi: 10.1080/10867651.2003.10487583 – start-page: 499 volume-title: Computer Vision-ECCV year: 2012 ident: e_1_2_8_37_2 – ident: e_1_2_8_69_2 – ident: e_1_2_8_14_2 doi: 10.1007/s11263-010-0390-2 – start-page: 33 volume-title: Proceedings of Graphics Interface year: 2008 ident: e_1_2_8_34_2 – volume-title: IS&T/SPIE Electronic Imaging year: 2010 ident: e_1_2_8_112_2 – ident: e_1_2_8_119_2 – start-page: 173 volume-title: Computer Vision, Fourth Int. Conf. on year: 1993 ident: e_1_2_8_9_2 – ident: e_1_2_8_87_2 doi: 10.1145/1882261.1866186 – ident: e_1_2_8_27_2 doi: 10.1145/566654.566573 – ident: e_1_2_8_116_2 doi: 10.1016/j.jvcir.2012.01.006 – ident: e_1_2_8_7_2 doi: 10.1201/b11373 – ident: e_1_2_8_84_2 – ident: e_1_2_8_106_2 – ident: e_1_2_8_65_2 doi: 10.1145/641007.641032 – ident: e_1_2_8_115_2 doi: 10.1109/TIP.2011.2170079 – volume: 2 start-page: 2498 year: 2006 ident: e_1_2_8_24_2 article-title: Seamless image stitching of scenes with large motions and exposure differences publication-title: Computer Vision and Pattern Recognition, IEEE Computer Soc. Conf. on – start-page: 1317 volume-title: Image Processing, 18th IEEE Int. Conf. on year: 2011 ident: e_1_2_8_63_2 – start-page: 530 volume-title: Computer Vision and Pattern Recognition, IEEE Conf. on year: 2010 ident: e_1_2_8_114_2 – ident: e_1_2_8_46_2 doi: 10.1109/MCG.2008.23 – ident: e_1_2_8_25_2 doi: 10.1145/358669.358692 – volume-title: IS&T/SPIE Electronic Imaging year: 2011 ident: e_1_2_8_110_2 – ident: e_1_2_8_79_2 doi: 10.5220/0001076300360041 – ident: e_1_2_8_74_2 doi: 10.1016/j.cag.2013.06.003 – ident: e_1_2_8_111_2 doi: 10.1016/0262-8856(95)01047-5 – start-page: 62 volume-title: ACM SIGGRAPH Posters year: 2012 ident: e_1_2_8_117_2 – ident: e_1_2_8_21_2 doi: 10.1016/j.fss.2006.09.011 – ident: e_1_2_8_19_2 – start-page: 397 volume-title: Image Processing (ICIP), 17th IEEE Int. Conf. on year: 2010 ident: e_1_2_8_109_2 – start-page: 530 volume-title: Multimedia and Expo, IEEE Int. Conf. on year: 2009 ident: e_1_2_8_70_2 – start-page: 904 volume-title: Image and Signal Processing, 6th Int. Congress on year: 2013 ident: e_1_2_8_108_2 – start-page: 29 volume-title: Computer Vision-ECCV year: 2010 ident: e_1_2_8_13_2 – start-page: 353 volume-title: Image Processing (ICIP), 18th IEEE Int. Conf. on year: 2011 ident: e_1_2_8_81_2 – start-page: 955 volume-title: Computer Vision and Pattern Recognition, IEEE Computer Society Conf. on year: 2005 ident: e_1_2_8_92_2 – start-page: 1275 volume-title: Signal Processing and Communications Applications Conf. (SIU), 22nd year: 2014 ident: e_1_2_8_103_2 – ident: e_1_2_8_105_2 doi: 10.1109/ICCV.1998.710815 – start-page: 1 volume-title: Visual Media Production (CVMP), Conf. on year: 2010 ident: e_1_2_8_80_2 – ident: e_1_2_8_49_2 doi: 10.1109/TCE.2006.1706464 – ident: e_1_2_8_20_2 – ident: e_1_2_8_17_2 – ident: e_1_2_8_12_2 doi: 10.1145/1531326.1531330 – ident: e_1_2_8_15_2 doi: 10.1109/34.969114 – ident: e_1_2_8_47_2 doi: 10.1109/TIP.2011.2160953 – start-page: 1 volume-title: Computer Vision, IEEE 11th Int. Conf. on year: 2007 ident: e_1_2_8_68_2 – ident: e_1_2_8_33_2 – ident: e_1_2_8_100_2 doi: 10.1016/j.image.2012.02.001 – ident: e_1_2_8_26_2 doi: 10.5220/0003840700310037 – ident: e_1_2_8_16_2 doi: 10.1109/TIP.2003.819222 – volume-title: High Dynamic Range Imaging: Acquisition, Display and ImageBased Lighting year: 2010 ident: e_1_2_8_91_2 – ident: e_1_2_8_32_2 doi: 10.1109/TPAMI.2003.1240119 – ident: e_1_2_8_113_2 doi: 10.1111/j.1467-8659.2011.01870.x – ident: e_1_2_8_31_2 doi: 10.1145/2508363.2508410 – ident: e_1_2_8_38_2 – ident: e_1_2_8_8_2 doi: 10.1007/3-540-55426-2_27 – ident: e_1_2_8_99_2 – start-page: 954 volume-title: Pattern Recognition, 18th Int. Conf. on year: 2006 ident: e_1_2_8_73_2 – ident: e_1_2_8_35_2 doi: 10.1109/ICPR.2014.360 – ident: e_1_2_8_67_2 doi: 10.1109/TPAMI.2006.141 – ident: e_1_2_8_95_2 – ident: e_1_2_8_120_2 doi: 10.1007/978-3-540-74936-3_22 – start-page: 357 volume-title: Image Processing (ICIP), 18th IEEE Int. Conf. on year: 2011 ident: e_1_2_8_44_2 – ident: e_1_2_8_42_2 – ident: e_1_2_8_54_2 doi: 10.1109/ICIP.2009.5413665 – start-page: 369 volume-title: Proceedings of the 24th Annual Conf. on Computer Graphics and Interactive Techniques year: 1997 ident: e_1_2_8_22_2 – volume-title: Computer Vision and Pattern Recognition, IEEE Computer Society Conf. on year: 1999 ident: e_1_2_8_66_2 – volume: 15 start-page: 50 year: 1988 ident: e_1_2_8_40_2 article-title: A combined corner and edge detector publication-title: Alvey vision Conf – volume: 1 start-page: 1 issue: 3 year: 1999 ident: e_1_2_8_51_2 article-title: Image features from phase congruency publication-title: Videre: Jrnl. of computer vision research – ident: e_1_2_8_75_2 doi: 10.1109/ICIP.2013.6738163 – start-page: 44 volume-title: SIGGRAPH ASIA Posters year: 2009 ident: e_1_2_8_88_2 – volume: 81 start-page: 674 year: 1981 ident: e_1_2_8_55_2 article-title: An iterative image registration technique with an application to stereo vision publication-title: IJCAI – start-page: 215 volume-title: Computer Vision and Pattern Recognition (CVPR), IEEE Conf. on year: 2010 ident: e_1_2_8_28_2 – start-page: 2005 volume-title: Image Processing, IEEE Int. Conf. on year: 2006 ident: e_1_2_8_48_2 – ident: e_1_2_8_94_2 doi: 10.1093/biomet/48.1-2.95 – ident: e_1_2_8_52_2 doi: 10.1145/2508363.2508402 – ident: e_1_2_8_118_2 doi: 10.1109/TIP.2013.2283401 – ident: e_1_2_8_6_2 doi: 10.1109/TCOM.1983.1095851 – start-page: 159 volume-title: Image Processing, Int. Conf. on year: 1999 ident: e_1_2_8_83_2 – start-page: 1 volume-title: Computational Photography (ICCP), IEEE Int. Conf. on year: 2009 ident: e_1_2_8_30_2 – volume-title: Applications year: 2010 ident: e_1_2_8_62_2 – start-page: 380 volume-title: Pattern Recognition (ICPR), 21st Int. Conf. on year: 2012 ident: e_1_2_8_101_2 – ident: e_1_2_8_71_2 doi: 10.1007/s11760-010-0203-7
SSID	ssj0004765
Score	2.4762547
Snippet	Obtaining a high quality high dynamic range (HDR) image in the presence of camera and object movement has been a long‐standing challenge. Many methods, known... Obtaining a high quality high dynamic range (HDR) image in the presence of camera and object movement has been a long-standing challenge. Many methods, known...
SourceID	proquest crossref wiley istex
SourceType	Aggregation Database Enrichment Source Index Database Publisher
StartPage	683
SubjectTerms	Algorithms Analysis Categories and Subject Descriptors (according to ACM CCS) Digital cameras Dynamic range Dynamics Ghosts I.4.8 [Image Processing and Computer Vision]: Scene Analysis-Motion Image processing systems Mathematical models State of the art Studies
Title	The State of the Art in HDR Deghosting: A Survey and Evaluation
URI	https://api.istex.fr/ark:/67375/WNG-CVSHV2G3-3/fulltext.pdf https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fcgf.12593 https://www.proquest.com/docview/1690185060 https://www.proquest.com/docview/1778036068
Volume	34
WOSCitedRecordID	wos000358326600062&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVWIB databaseName: Wiley Online Library - Journals customDbUrl: eissn: 1467-8659 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0004765 issn: 0167-7055 databaseCode: DRFUL dateStart: 19970101 isFulltext: true titleUrlDefault: https://onlinelibrary.wiley.com providerName: Wiley-Blackwell
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1NbxMxEB2VhAM98F0RKMgghLgs2qzjtQ0HVCVNckARamnpzbK946qi2qCkqeDfM94vUgkkJG4r7bNkjWd23qztNwCveV4Mg0CfaI85FSiqSHShQ5IRG7A8ZHZk62YTcrFQZ2f68w58aO_C1PoQ3Q-3GBnV9zoGuHXrrSD35-EdZWfNb0E_I78VPehPjqYnn35fi5S5aKW9o2hMIywUD_J0g2-ko3607I8bXHObsVYpZ3rvvyZ7H-42TJMd1K7xAHawfAi7W_qDj-AjOQmr6CZbBkZUMKLZRcnmkyM2wfN4A4SA79kBO96srvEns2XBDjuB8MdwMj38Mp4nTUeFxI9i07YgueVCpsSBRgG9soXihXNB6qAoUbvgHQ5d4ULqqXLxRO08Fc-YCsy0cKj5HvTKZYlPgGGIqV-SA2RRdEzpTDiFOWLObYEiH8Db1rDGN3LjsevFpWnLDrKJqWwygFcd9HutsfEn0JtqdTqEXX2Lh9KkMF8XMzM-PZ6fZjNuCLjfLp9p4nFt4mbgMIrzpQN42b2mSIrbI7bE5YYwUirK52muaO7VYv59NmY8m1YPT_8d-gzuENsS9WnJfehdrTb4HG7766uL9epF47y_ALgA7xY
linkProvider	Wiley-Blackwell
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1taxNBEB5qI2g_-C6mVl1FxC8nl9vs7a4IUpImEWOQvtlvy97ebCktl5I2pf57Z-_NFBQEvx3cc7DMztw8sy_PALzlad7zAl2kHaZUoKg80rn2UUJswHKf2L6tmk3I2UwdHenva_CpuQtT6UO0C24hMsr_dQjwsCC9EuXu2H-g9Kz5Lej0yY3IvzvD3dHB9Pe9SJmKRts7qMbUykLhJE_78Y181Ammvb5BNlcpa5lzRvf_b7QP4F7NNdl25RwPYQ2LR7CxokD4GD6Tm7CScLK5Z0QGA5qdFGwy3GVDPA53QAj4kW2zveXiCn8yW-Rsp5UIfwIHo539wSSqeypErh_atnnJLRcyJhbU9-iUzRXPs8xL7RWl6sy7DHtZnvnYUe3iiNw5Kp8xFphokaHmT2G9mBf4DBj6kPwluUASZMeUTkSmMEVMuc1RpF1431jWuFpwPPS9ODNN4UE2MaVNuvCmhZ5XKht_Ar0rp6dF2MVpOJYmhfkxG5vB4d7kMBlzQ8CtZv5MHZEXJmwH9oI8X9yF1-1riqWwQWILnC8JI6WijB6nisZezubfR2MG41H5sPnv0FdwZ7L_bWqmX2Zfn8Nd4l6iOju5BeuXiyW-gNvu6vLkYvGy9uRfE03zBg
linkToPdf	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3faxQxEB7qnUh98Ld4WjWKiC8re7uXTSKClLvunViO0trat5BNJqVU9sq1V_S_d7K_vIKC4NvCfoEwmdn5ZpN8A_AmzdzQc7SRsphRgSJdpJzyUUJswKQ-MSNTN5sQ87k8PlZ7G_CxvQtT60N0P9xCZFTf6xDgeO78WpTbE_-e0rNKb0B_FJrI9KA_2c8Pd3_fixQZb7W9g2pMoywUTvJ0g6_lo34w7Y9rZHOdslY5J7_7f7O9B3carsm2a-e4DxtYPoDbawqED-ETuQmrCCdbeEZkMKDZaclmk302wZNwB4SAH9g2O1gtr_AnM6VjO51E-CM4zHe-jmdR01MhsqPQts2L1KRcxMSCRh6tNE6mrii8UF5Sqi68LXBYuMLHlmoXS-TOUvmMMcdE8QJV-hh65aLEJ8DQh-QvyAWSIDsmVcILiRlilhqHPBvAu9ay2jaC46HvxXfdFh5kE13ZZACvO-h5rbLxJ9Dbank6hFmehWNpgutv86keHx3MjpJpqgm41a6fbiLyQoftwGGQ54sH8Kp7TbEUNkhMiYsVYYSQlNHjTNLcq9X8-2z0eJpXD0__HfoSbu1Ncr37ef7lGWwS9eL10ckt6F0uV_gcbtqry9OL5YvGkX8BsEnygQ
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=The+State+of+the+Art+in+HDR+Deghosting%3A+A+Survey+and+Evaluation&rft.jtitle=Computer+graphics+forum&rft.au=Tursun%2C+Okan+Tarhan&rft.au=Akyuz%2C+Ahmet+Ouz&rft.au=Erdem%2C+Aykut&rft.au=Erdem%2C+Erkut&rft.date=2015-05-01&rft.pub=Blackwell+Publishing+Ltd&rft.issn=0167-7055&rft.eissn=1467-8659&rft.volume=34&rft.issue=2&rft.spage=683&rft_id=info:doi/10.1111%2Fcgf.12593&rft.externalDBID=NO_FULL_TEXT&rft.externalDocID=3721827431
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0167-7055&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0167-7055&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0167-7055&client=summon