High Dynamic Range Imaging and Low Dynamic Range Expansion for Generating HDR Content

In the last few years, researchers in the field of High Dynamic Range (HDR) Imaging have focused on providing tools for expanding Low Dynamic Range (LDR) content for the generation of HDR images due to the growing popularity of HDR in applications, such as photography and rendering via Image‐Based L...

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Vydáno v:	Computer graphics forum Ročník 28; číslo 8; s. 2343 - 2367
Hlavní autoři:	Banterle, Francesco, Debattista, Kurt, Artusi, Alessandro, Pattanaik, Sumanta, Myszkowski, Karol, Ledda, Patrick, Chalmers, Alan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Oxford, UK Blackwell Publishing Ltd 01.12.2009
Témata:	Algorithms Computer graphics Data compression Digital imaging high dynamic range imaging I.3.3 [Compression (Coding)]: Approximate methods I.3.3 [Picture/Image Generation]: Display algorithms I.4.2 [Digitization and Image Capture]: Quantization image compression image expansion Image processing systems inverse/reverse tone mapping Systems design VDTs Video display terminals
ISSN:	0167-7055, 1467-8659
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Abstract	In the last few years, researchers in the field of High Dynamic Range (HDR) Imaging have focused on providing tools for expanding Low Dynamic Range (LDR) content for the generation of HDR images due to the growing popularity of HDR in applications, such as photography and rendering via Image‐Based Lighting, and the imminent arrival of HDR displays to the consumer market. LDR content expansion is required due to the lack of fast and reliable consumer level HDR capture for still images and videos. Furthermore, LDR content expansion, will allow the re‐use of legacy LDR stills, videos and LDR applications created, over the last century and more, to be widely available. The use of certain LDR expansion methods, those that are based on the inversion of Tone Mapping Operators (TMOs), has made it possible to create novel compression algorithms that tackle the problem of the size of HDR content storage, which remains one of the major obstacles to be overcome for the adoption of HDR. These methods are used in conjunction with traditional LDR compression methods and can evolve accordingly. The goal of this report is to provide a comprehensive overview on HDR Imaging, and an in depth review on these emerging topics.
AbstractList	In the last few years, researchers in the field of High Dynamic Range (HDR) Imaging have focused on providing tools for expanding Low Dynamic Range (LDR) content for the generation of HDR images due to the growing popularity of HDR in applications, such as photography and rendering via Image-Based Lighting, and the imminent arrival of HDR displays to the consumer market. LDR content expansion is required due to the lack of fast and reliable consumer level HDR capture for still images and videos. Furthermore, LDR content expansion, will allow the re-use of legacy LDR stills, videos and LDR applications created, over the last century and more, to be widely available. The use of certain LDR expansion methods, those that are based on the inversion of Tone Mapping Operators (TMOs), has made it possible to create novel compression algorithms that tackle the problem of the size of HDR content storage, which remains one of the major obstacles to be overcome for the adoption of HDR. These methods are used in conjunction with traditional LDR compression methods and can evolve accordingly. The goal of this report is to provide a comprehensive overview on HDR Imaging, and an in depth review on these emerging topics. [PUBLICATION ABSTRACT] In the last few years, researchers in the field of High Dynamic Range (HDR) Imaging have focused on providing tools for expanding Low Dynamic Range (LDR) content for the generation of HDR images due to the growing popularity of HDR in applications, such as photography and rendering via Image‐Based Lighting, and the imminent arrival of HDR displays to the consumer market. LDR content expansion is required due to the lack of fast and reliable consumer level HDR capture for still images and videos. Furthermore, LDR content expansion, will allow the re‐use of legacy LDR stills, videos and LDR applications created, over the last century and more, to be widely available. The use of certain LDR expansion methods, those that are based on the inversion of Tone Mapping Operators (TMOs), has made it possible to create novel compression algorithms that tackle the problem of the size of HDR content storage, which remains one of the major obstacles to be overcome for the adoption of HDR. These methods are used in conjunction with traditional LDR compression methods and can evolve accordingly. The goal of this report is to provide a comprehensive overview on HDR Imaging, and an in depth review on these emerging topics.
Author	Myszkowski, Karol Chalmers, Alan Ledda, Patrick Artusi, Alessandro Pattanaik, Sumanta Banterle, Francesco Debattista, Kurt
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Cites_doi	10.1109/OCEANS.2008.5152015 10.1109/ICIP.1999.817091 10.1145/280814.280864 10.1007/s00371-007-0124-9 10.1109/TIT.1962.1057702 10.1117/1.1557695 10.1145/1186562.1015794 10.1109/CVPR.2004.1315266 10.1145/882262.882269 10.1117/12.472016 10.1109/MCG.2005.133 10.1080/10867651.1998.10487485 10.1109/97.995823 10.1145/1201775.882270 10.1109/2945.646233 10.1145/258734.258884 10.1145/1141911.1141944 10.1109/TCSVT.2003.815165 10.1109/30.920468 10.1142/9789812831200_0010 10.1111/j.1467-8659.2008.01176.x 10.1145/344779.344810 10.1145/1183287.1183293 10.1145/563274.563322 10.1145/604471.604517 10.1145/15886.15902 10.1016/j.jvcir.2007.06.004 10.1109/C-M.1981.220381 10.1145/566570.566575 10.1145/1179352.1141945 10.1145/1012551.1012566 10.1111/j.1467-8659.2008.01166.x 10.1145/1399504.1360668 10.1007/978-3-540-44433-6 10.1109/ICCV.2003.1238624 10.1145/1186954.1187029 10.1117/12.586757 10.1007/978-1-4757-2440-0 10.1145/1275808.1276425 10.1007/978-3-031-79528-2 10.1145/1186822.1073242 10.1016/B978-0-08-051581-6.50065-9 10.1145/1015706.1015797 10.1145/258734.258818 10.1145/566570.566573 10.1145/344779.344855 10.1007/s00371-006-0078-3 10.1145/1174429.1174489 10.1109/38.376616 10.1080/10867651.2002.10487554 10.1145/1073204.1073271 10.1145/1179352.1141946 10.1145/566570.566574 10.1145/1342250.1342282 10.1145/1230100.1230103
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References	Okuda M., Adami N.: Two-layer coding algorithm for high dynamic range images based on luminance compensation. Journal of Visual Communication and Image Representation 18, 5 (2007), 377-386. Hough D.: Applications of the proposed IEEE-754 standard for floating point arithmetic. Computer 14, 3 (March 1981), 70-74. Vapnik V. N.: The nature of statistical learning theory. Springer-Verlag, New York , NY , USA , 1995. Pérez P., Gangnet M., Blake A.: Poisson image editing. ACM Transactions on Graphics 22, 3 (2003), 313-318. Hoefflinger B. (Ed.): High-Dynamic-Range (HDR) Vision, vol. 26, Springer Series in Advanced Microelectronics. Springer, 2007. Kajiya J. T.: The rendering equation. SIGGRAPH Computer Graphics 20, 4 (1986), 143-150. Banterle F., Ledda P., Debbatista K., Artusi A., Bloj M., Chalmers A.: A psychophysical evaluation of inverse tone mapping techniques. Computer Graphics Forum 28, 1 (2008), 13-25. Seetzen H., Heidrich W., Stuerzlinger W., Ward G., Whitehead L., Trentacoste M., Ghosh A., Vorozcovs A.: High dynamic range display systems. ACM Transactions on Graphics 23, 3 (2004), 760-768. Myszkowski K., Mantiuk R., Krawczyk G.: High Dynamic Range Video. Synthesis Digital Library of Engineering and Computer Science. Morgan & Claypool Publishers, San Rafael , USA , 2008. Roberts L.: Picture coding using pseudo-random noise. IEEE Transactions on Information Theory 8, 2 (February 1962), 145-154. Reinhard E., Ward G., Pattanaik S., Debevec P.: High Dynamic Range Imaging: Acquisition, Display and Image-Based Lighting. Morgan Kaufmann Publishers, San Mateo , CA , USA , December 2005. David H. A.: The Method of Paired Comparisons, 2 ed. , Oxford University Press, London , U.K. , 1988. Fairchild M. D.: Color Appearance Models, 2 ed., Wiley-IS&T, 2005. Hateren J. H. V.: Encoding of high dynamic range video with a model of human cones. ACM Trans. Graph. 25, 4 (2006), 1380-1399. Watson A.: Temporal Sensitivity Chapter 6 in Handbook of Perception, vol. I, Springer-Verlag, Berlin , Germany , 1986. Reinhard E.: Parameter estimation for photographic tone reproduction. Journal Graphics Tools 7, 1 (2002), 45-52. Wiegand T., Sullivan G., Bjontegaard G., Luthra A.: Overview of the H.264/AVC video coding standard. IEEE Transactions on Circuits and Systems for Video Technology 13, 7 (July 2003), 560-576. Clarberg P., Akenine-Möller T.: Practical product importance sampling for direct illumination. Computer Graphics Forum 27, 2 (2008), 681-690. Munkberg J., Clarberg P., Hasselgren J., Akenine-Möller T.: High dynamic range texture compression for graphics hardware. ACM Transactions on Graphics 25, 3 (2006), 698-706. Larson G. W., Rushmeier H., Piatko C.: A visibility matching tone reproduction operator for high dynamic range scenes. IEEE Transactions on Visualization and Computer Graphics 3, 4 (1997), 291-306. Li Y., Sharan L., Adelson E. H.: Compressing and companding high dynamic range images with subband architectures. ACM Transactions on Graphics 24, 3 (2005), 836-844. Banterle F., Ledda P., Debattista K., Chalmers A., Bloj M.: A framework for inverse tone mapping. The Visual Computer 23, 7 (2007), 467-478. Daly S.: The visible differences predictor: an algorithm for the assessment of image fidelity. Digital Images and Human Vision (1993), 179-206. Robertson M. A., Borman S., Stevenson R. L.: Estimation-theoretic approach to dynamic range enhancement using multiple exposures. Journal of Electronic Imaging 12, 2 (April 2003), 219-228. Larson G. W.: Logluv encoding for full-gamut, high-dynamic range images. Journal of Graphics Tools 3, 1 (1998), 15-31. Hateren J. H. V., Lamb T. D.: The photocurrent response of human cones is fast and monophasic. BMC Neuroscience 7, 34 (April 2006). Stollnitz E. J., DeRose T. D., Salesin D. H.: Wavelets for computer graphics: A primer. IEEE Computer Graphics and Applications 15, 3 (1995), 76-84. Xu R., Pattanaik S. N., Hughes C. E.: High-dynamic-range still-image encoding in jpeg 2000. IEEE Computer Graphics and Applications 25, 6 (2005), 57-64. Christopoulos C., Skodras A., Ebrahimi T.: The JPEG2000 still image coding system: An overview. IEEE Transactions on Consumer Electronics 46, 4 (November 2000), 1103-1127. Burt P. J., Adelson E. H.: The Laplacian pyramid as a compact image code. Readings in computer vision: Issues, problems, principles, and paradigms (1987), pp. 671-679. Ward G.: Real pixels. Graphics Gems 2 (1991), 15-31. Han J., Zhou K., Wei L.-Y., Gong M., Bao H., Zhang X., Guo B.: Fast example-based surface texture synthesis via discrete optimization. Visual Computers 22, 9 (2006), 918-925. Wang Z., Bovik A.: A universal image quality index. IEEE Signal Processing Letters 9, 3 (March 2002), 81-84. April 2006; 7 2004; 23 1976 June 2007 December 2009; 28 July 2003; 13 1997; 3 June 2004; 5008 2005; 24 2005; 25 June 1999; 1 March 1981; 14 1990 2000 2006; 22 September 2009 2008; 27 2006; 25 September 2008 2008; 28 1987 Oct 2003; 2 September 2002 June 2003; 5008 1986; I 2007; 23 2007; 26 1988 2007; 18 2007; 6492 1995; 15 2002; 7 1998 2008 1997 2007 March 2002; 9 2006 1995 2005 1993 2004 2003 2002 1991 1999 December 2005 November 2000; 46 1986; 20 April 2003; 12 2005; 5666 1998; 3 May 1995 February 1962; 8 2005; 2 2003; 22 e_1_2_7_5_2 Mann S. (e_1_2_7_59_2) 1995 e_1_2_7_3_2 Wang H. (e_1_2_7_88_2) 2005 e_1_2_7_9_2 e_1_2_7_7_2 e_1_2_7_19_2 Ward G. (e_1_2_7_90_2) 2005 Lin S. (e_1_2_7_48_2) 2005 e_1_2_7_83_2 Banterle F. (e_1_2_7_10_2) 2008 e_1_2_7_60_2 e_1_2_7_81_2 Wang L. (e_1_2_7_93_2) 2007 e_1_2_7_13_2 e_1_2_7_41_2 e_1_2_7_62_2 e_1_2_7_87_2 e_1_2_7_11_2 e_1_2_7_43_2 e_1_2_7_64_2 Sun W. (e_1_2_7_80_2) 2008 e_1_2_7_45_2 e_1_2_7_66_2 Meylan L. (e_1_2_7_52_2) 2006 e_1_2_7_47_2 e_1_2_7_68_2 e_1_2_7_89_2 Masia B. (e_1_2_7_49_2) 2009 Myszkowski K. (e_1_2_7_57_2) 2008 Didyk P. (e_1_2_7_26_2) 2008 e_1_2_7_71_2 e_1_2_7_94_2 e_1_2_7_50_2 Watson A. (e_1_2_7_86_2) 1986 e_1_2_7_92_2 e_1_2_7_75_2 e_1_2_7_23_2 e_1_2_7_31_2 e_1_2_7_54_2 e_1_2_7_73_2 e_1_2_7_21_2 Fairchild M. D. (e_1_2_7_28_2) 2005 e_1_2_7_33_2 e_1_2_7_56_2 e_1_2_7_79_2 Drago F. (e_1_2_7_25_2) 2003 e_1_2_7_35_2 Hateren J. H. V. (e_1_2_7_32_2) 2006; 7 e_1_2_7_39_2 David H. A. (e_1_2_7_16_2) 1988 Mitsunaga T. (e_1_2_7_58_2) 1999 e_1_2_7_4_2 e_1_2_7_2_2 Reinhard E. (e_1_2_7_77_2) 2005 e_1_2_7_8_2 e_1_2_7_18_2 e_1_2_7_82_2 e_1_2_7_61_2 e_1_2_7_14_2 e_1_2_7_63_2 e_1_2_7_12_2 e_1_2_7_42_2 e_1_2_7_65_2 e_1_2_7_84_2 Devlin K. (e_1_2_7_17_2) 2002 e_1_2_7_44_2 Meylan L. (e_1_2_7_53_2) 2007 e_1_2_7_67_2 e_1_2_7_46_2 e_1_2_7_69_2 Landis H. (e_1_2_7_40_2) 2002 e_1_2_7_27_2 e_1_2_7_29_2 Ward G. (e_1_2_7_85_2) 1991 Daly S. (e_1_2_7_15_2) 1993 ITU (e_1_2_7_37_2) 1990 e_1_2_7_72_2 e_1_2_7_70_2 e_1_2_7_91_2 Banterle F. (e_1_2_7_6_2) 2008 e_1_2_7_24_2 e_1_2_7_30_2 e_1_2_7_51_2 e_1_2_7_74_2 e_1_2_7_20_2 e_1_2_7_34_2 e_1_2_7_55_2 e_1_2_7_36_2 e_1_2_7_78_2 e_1_2_7_38_2 Rempel A. G. (e_1_2_7_76_2) 2007 Daly S. (e_1_2_7_22_2) 2004
References_xml	– reference: Banterle F., Ledda P., Debbatista K., Artusi A., Bloj M., Chalmers A.: A psychophysical evaluation of inverse tone mapping techniques. Computer Graphics Forum 28, 1 (2008), 13-25. – reference: Robertson M. A., Borman S., Stevenson R. L.: Estimation-theoretic approach to dynamic range enhancement using multiple exposures. Journal of Electronic Imaging 12, 2 (April 2003), 219-228. – reference: Burt P. J., Adelson E. H.: The Laplacian pyramid as a compact image code. Readings in computer vision: Issues, problems, principles, and paradigms (1987), pp. 671-679. – reference: Banterle F., Ledda P., Debattista K., Chalmers A., Bloj M.: A framework for inverse tone mapping. The Visual Computer 23, 7 (2007), 467-478. – reference: Kajiya J. T.: The rendering equation. SIGGRAPH Computer Graphics 20, 4 (1986), 143-150. – reference: Ward G.: Real pixels. Graphics Gems 2 (1991), 15-31. – reference: Clarberg P., Akenine-Möller T.: Practical product importance sampling for direct illumination. Computer Graphics Forum 27, 2 (2008), 681-690. – reference: Han J., Zhou K., Wei L.-Y., Gong M., Bao H., Zhang X., Guo B.: Fast example-based surface texture synthesis via discrete optimization. Visual Computers 22, 9 (2006), 918-925. – reference: Stollnitz E. J., DeRose T. D., Salesin D. H.: Wavelets for computer graphics: A primer. IEEE Computer Graphics and Applications 15, 3 (1995), 76-84. – reference: Okuda M., Adami N.: Two-layer coding algorithm for high dynamic range images based on luminance compensation. Journal of Visual Communication and Image Representation 18, 5 (2007), 377-386. – reference: Myszkowski K., Mantiuk R., Krawczyk G.: High Dynamic Range Video. Synthesis Digital Library of Engineering and Computer Science. Morgan & Claypool Publishers, San Rafael , USA , 2008. – reference: Hateren J. H. V.: Encoding of high dynamic range video with a model of human cones. ACM Trans. Graph. 25, 4 (2006), 1380-1399. – reference: Hoefflinger B. (Ed.): High-Dynamic-Range (HDR) Vision, vol. 26, Springer Series in Advanced Microelectronics. Springer, 2007. – reference: Watson A.: Temporal Sensitivity Chapter 6 in Handbook of Perception, vol. I, Springer-Verlag, Berlin , Germany , 1986. – reference: Roberts L.: Picture coding using pseudo-random noise. IEEE Transactions on Information Theory 8, 2 (February 1962), 145-154. – reference: Vapnik V. N.: The nature of statistical learning theory. Springer-Verlag, New York , NY , USA , 1995. – reference: Larson G. W.: Logluv encoding for full-gamut, high-dynamic range images. Journal of Graphics Tools 3, 1 (1998), 15-31. – reference: David H. A.: The Method of Paired Comparisons, 2 ed. , Oxford University Press, London , U.K. , 1988. – reference: Larson G. W., Rushmeier H., Piatko C.: A visibility matching tone reproduction operator for high dynamic range scenes. IEEE Transactions on Visualization and Computer Graphics 3, 4 (1997), 291-306. – reference: Hough D.: Applications of the proposed IEEE-754 standard for floating point arithmetic. Computer 14, 3 (March 1981), 70-74. – reference: Reinhard E., Ward G., Pattanaik S., Debevec P.: High Dynamic Range Imaging: Acquisition, Display and Image-Based Lighting. Morgan Kaufmann Publishers, San Mateo , CA , USA , December 2005. – reference: Daly S.: The visible differences predictor: an algorithm for the assessment of image fidelity. Digital Images and Human Vision (1993), 179-206. – reference: Hateren J. H. V., Lamb T. D.: The photocurrent response of human cones is fast and monophasic. BMC Neuroscience 7, 34 (April 2006). – reference: Reinhard E.: Parameter estimation for photographic tone reproduction. Journal Graphics Tools 7, 1 (2002), 45-52. – reference: Li Y., Sharan L., Adelson E. H.: Compressing and companding high dynamic range images with subband architectures. ACM Transactions on Graphics 24, 3 (2005), 836-844. – reference: Seetzen H., Heidrich W., Stuerzlinger W., Ward G., Whitehead L., Trentacoste M., Ghosh A., Vorozcovs A.: High dynamic range display systems. ACM Transactions on Graphics 23, 3 (2004), 760-768. – reference: Xu R., Pattanaik S. N., Hughes C. E.: High-dynamic-range still-image encoding in jpeg 2000. IEEE Computer Graphics and Applications 25, 6 (2005), 57-64. – reference: Wiegand T., Sullivan G., Bjontegaard G., Luthra A.: Overview of the H.264/AVC video coding standard. IEEE Transactions on Circuits and Systems for Video Technology 13, 7 (July 2003), 560-576. – reference: Munkberg J., Clarberg P., Hasselgren J., Akenine-Möller T.: High dynamic range texture compression for graphics hardware. ACM Transactions on Graphics 25, 3 (2006), 698-706. – reference: Pérez P., Gangnet M., Blake A.: Poisson image editing. ACM Transactions on Graphics 22, 3 (2003), 313-318. – reference: Christopoulos C., Skodras A., Ebrahimi T.: The JPEG2000 still image coding system: An overview. IEEE Transactions on Consumer Electronics 46, 4 (November 2000), 1103-1127. – reference: Fairchild M. D.: Color Appearance Models, 2 ed., Wiley-IS&T, 2005. – reference: Wang Z., Bovik A.: A universal image quality index. IEEE Signal Processing Letters 9, 3 (March 2002), 81-84. – volume: 15 start-page: 76 issue: 3 year: 1995 end-page: 84 article-title: Wavelets for computer graphics: A primer publication-title: IEEE Computer Graphics and Applications – start-page: 189 year: 1998 end-page: 198 – volume: 20 start-page: 143 issue: 4 year: 1986 end-page: 150 article-title: The rendering equation publication-title: SIGGRAPH Computer Graphics – volume: 23 start-page: 467 issue: 7 year: 2007 end-page: 478 article-title: A framework for inverse tone mapping publication-title: The Visual Computer – start-page: 257 year: 2002 end-page: 266 – year: 2005 – start-page: 237 year: 2003 end-page: 244 – volume: 9 start-page: 81 issue: 3 year: March 2002 end-page: 84 article-title: A universal image quality index publication-title: IEEE Signal Processing Letters – start-page: 266 year: 1976 end-page: 266 – volume: 14 start-page: 70 issue: 3 year: March 1981 end-page: 74 article-title: Applications of the proposed IEEE‐754 standard for floating point arithmetic publication-title: Computer – start-page: 15 year: 1991 end-page: 31 article-title: Real pixels publication-title: Graphics Gems 2 – start-page: 319 year: 2003 end-page: 325 – start-page: 249 year: 2002 end-page: 256 – volume: 25 start-page: 1380 issue: 4 year: 2006 end-page: 1399 article-title: Encoding of high dynamic range video with a model of human cones publication-title: ACM Trans. Graph. – volume: 7 issue: 34 year: April 2006 article-title: The photocurrent response of human cones is fast and monophasic publication-title: BMC Neuroscience – volume: 26 year: 2007 – volume: 28 issue: 5 year: December 2009 – volume: 23 start-page: 760 issue: 3 year: 2004 end-page: 768 article-title: High dynamic range display systems publication-title: ACM Transactions on Graphics – volume: 27 start-page: 681 issue: 2 year: 2008 end-page: 690 article-title: Practical product importance sampling for direct illumination publication-title: Computer Graphics Forum – year: 1990 – start-page: 713 year: 2006 end-page: 723 – start-page: 671 year: 1987 end-page: 679 article-title: The Laplacian pyramid as a compact image code publication-title: Readings in computer vision: Issues, problems, principles, and paradigms – start-page: 101 year: September 2002 end-page: 123 – volume: 28 start-page: 13 issue: 1 year: 2008 end-page: 25 article-title: A psychophysical evaluation of inverse tone mapping techniques publication-title: Computer Graphics Forum – volume: 5666 start-page: 204 year: 2005 end-page: 214 – volume: 6492 year: 2007 – year: December 2005 – year: September 2009 – year: 2008 – start-page: 47 year: 2000 end-page: 54 – start-page: 85 year: 2008 end-page: 94 – start-page: 349 year: 2008 end-page: 356 – volume: 25 start-page: 57 issue: 6 year: 2005 end-page: 64 article-title: High‐dynamic‐range still‐image encoding in jpeg 2000 publication-title: IEEE Computer Graphics and Applications – start-page: 145 year: 2000 end-page: 156 – volume: 2 start-page: 66 year: 2005 end-page: 73 – volume: I year: 1986 – volume: 22 start-page: 918 issue: 9 year: 2006 end-page: 925 article-title: Fast example‐based surface texture synthesis via discrete optimization publication-title: Visual Computers – start-page: 1 year: 2008 end-page: 10 – start-page: 179 year: 1993 end-page: 206 article-title: The visible differences predictor: an algorithm for the assessment of image fidelity publication-title: Digital Images and Human Vision – start-page: 159 year: 1999 end-page: 163 – year: 2007 – volume: 3 start-page: 291 issue: 4 year: 1997 end-page: 306 article-title: A visibility matching tone reproduction operator for high dynamic range scenes publication-title: IEEE Transactions on Visualization and Computer Graphics – start-page: 66 year: 2005 – start-page: 707 year: 2006 end-page: 712 – start-page: 267 year: 2002 end-page: 276 – volume: 5008 start-page: 455 year: June 2003 – start-page: 17 year: 2007 end-page: 24 – volume: 8 start-page: 145 issue: 2 year: February 1962 end-page: 154 article-title: Picture coding using pseudo‐random noise publication-title: IEEE Transactions on Information Theory – volume: 13 start-page: 560 issue: 7 year: July 2003 end-page: 576 article-title: Overview of the H.264/AVC video coding standard publication-title: IEEE Transactions on Circuits and Systems for Video Technology – start-page: 1 year: September 2008 end-page: 9 – start-page: 369 year: 1997 end-page: 378 – start-page: 83 year: 2004 end-page: 90 – start-page: 143 year: 1997 end-page: 152 – volume: 24 start-page: 836 issue: 3 year: 2005 end-page: 844 article-title: Compressing and companding high dynamic range images with subband architectures publication-title: ACM Transactions on Graphics – volume: 1 start-page: 374 year: June 1999 end-page: 380 – volume: 25 start-page: 698 issue: 3 year: 2006 end-page: 706 article-title: High dynamic range texture compression for graphics hardware publication-title: ACM Transactions on Graphics – volume: 18 start-page: 377 issue: 5 year: 2007 end-page: 386 article-title: Two‐layer coding algorithm for high dynamic range images based on luminance compensation publication-title: Journal of Visual Communication and Image Representation – start-page: 333 year: 2006 end-page: 338 – start-page: 640 year: 2005 end-page: 648 – start-page: 41 year: 2008 end-page: 48 – year: 2002 – start-page: 938 year: 2004 end-page: 945 – year: 1988 – volume: 5008 start-page: 455 year: June 2004 – start-page: 207 year: 2008 end-page: 214 – volume: 22 start-page: 419 year: 2003 end-page: 426 – start-page: 422 year: May 1995 end-page: 428 – start-page: 38 year: 2007 – volume: 46 start-page: 1103 issue: 4 year: November 2000 end-page: 1127 article-title: The JPEG2000 still image coding system: An overview publication-title: IEEE Transactions on Consumer Electronics – year: 1995 – start-page: 245 year: 1995 end-page: 283 – start-page: 349 year: 2006 end-page: 356 – volume: 22 start-page: 313 issue: 3 year: 2003 end-page: 318 article-title: Poisson image editing publication-title: ACM Transactions on Graphics – volume: 2 start-page: 1168 year: Oct 2003 end-page: 1175 – year: June 2007 – volume: 3 start-page: 15 issue: 1 year: 1998 end-page: 31 article-title: Logluv encoding for full‐gamut, high‐dynamic range images publication-title: Journal of Graphics Tools – start-page: 733 year: 2004 end-page: 741 – volume: 12 start-page: 219 issue: 2 year: April 2003 end-page: 228 article-title: Estimation‐theoretic approach to dynamic range enhancement using multiple exposures publication-title: Journal of Electronic Imaging – volume: 7 start-page: 45 issue: 1 year: 2002 end-page: 52 article-title: Parameter estimation for photographic tone reproduction publication-title: Journal Graphics Tools – ident: e_1_2_7_55_2 doi: 10.1109/OCEANS.2008.5152015 – ident: e_1_2_7_70_2 doi: 10.1109/ICIP.1999.817091 – ident: e_1_2_7_2_2 – volume-title: Proceedings of Eurographics Symposium on Rendering year: 2007 ident: e_1_2_7_93_2 – start-page: 179 year: 1993 ident: e_1_2_7_15_2 article-title: The visible differences predictor: an algorithm for the assessment of image fidelity publication-title: Digital Images and Human Vision – volume: 7 issue: 34 year: 2006 ident: e_1_2_7_32_2 article-title: The photocurrent response of human cones is fast and monophasic publication-title: BMC Neuroscience – start-page: 349 volume-title: SCCG'08: Proceedings of the 4th Spring Conference on Computer Graphics year: 2008 ident: e_1_2_7_10_2 – ident: e_1_2_7_19_2 doi: 10.1145/280814.280864 – start-page: 66 volume-title: CVPR'05: Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition year: 2005 ident: e_1_2_7_48_2 – ident: e_1_2_7_7_2 doi: 10.1007/s00371-007-0124-9 – ident: e_1_2_7_74_2 doi: 10.1109/TIT.1962.1057702 – ident: e_1_2_7_71_2 doi: 10.1117/1.1557695 – ident: e_1_2_7_56_2 doi: 10.1145/1186562.1015794 – ident: e_1_2_7_72_2 – start-page: 85 volume-title: GH '08: Proceedings of the 23rd ACM SIGGRAPH/EUROGRAPHICS symposium on Graphics hardware year: 2008 ident: e_1_2_7_80_2 – ident: e_1_2_7_43_2 doi: 10.1109/CVPR.2004.1315266 – ident: e_1_2_7_65_2 doi: 10.1145/882262.882269 – start-page: 41 volume-title: GI '08: Proceedings of Graphics Interface year: 2008 ident: e_1_2_7_6_2 – ident: e_1_2_7_21_2 doi: 10.1117/12.472016 – ident: e_1_2_7_94_2 doi: 10.1109/MCG.2005.133 – ident: e_1_2_7_41_2 doi: 10.1080/10867651.1998.10487485 – volume-title: Temporal Sensitivity Chapter 6 in Handbook of Perception year: 1986 ident: e_1_2_7_86_2 – ident: e_1_2_7_87_2 doi: 10.1109/97.995823 – ident: e_1_2_7_39_2 doi: 10.1145/1201775.882270 – ident: e_1_2_7_81_2 – volume-title: Electronic Imaging year: 2007 ident: e_1_2_7_53_2 – volume-title: IEEE 6th Workshop on Omnidirectional Vision, Camera Networks and Non‐classical Cameras year: 2005 ident: e_1_2_7_88_2 – start-page: 455 volume-title: Proceedings of Human Vision and Electronic Imaging IX year: 2004 ident: e_1_2_7_22_2 – start-page: 419 volume-title: Proceedings of EUROGRAPHICS'03 year: 2003 ident: e_1_2_7_25_2 – ident: e_1_2_7_44_2 doi: 10.1109/2945.646233 – volume-title: Proceeding of Eurographics Symposium on Rendering'08 year: 2008 ident: e_1_2_7_26_2 – ident: e_1_2_7_24_2 doi: 10.1145/258734.258884 – ident: e_1_2_7_50_2 doi: 10.1145/1141911.1141944 – ident: e_1_2_7_91_2 doi: 10.1109/TCSVT.2003.815165 – ident: e_1_2_7_13_2 doi: 10.1109/30.920468 – ident: e_1_2_7_46_2 doi: 10.1142/9789812831200_0010 – ident: e_1_2_7_8_2 doi: 10.1111/j.1467-8659.2008.01176.x – ident: e_1_2_7_67_2 doi: 10.1145/344779.344810 – ident: e_1_2_7_31_2 doi: 10.1145/1183287.1183293 – ident: e_1_2_7_11_2 doi: 10.1145/563274.563322 – ident: e_1_2_7_64_2 – ident: e_1_2_7_47_2 doi: 10.1145/604471.604517 – ident: e_1_2_7_38_2 doi: 10.1145/15886.15902 – ident: e_1_2_7_62_2 doi: 10.1016/j.jvcir.2007.06.004 – ident: e_1_2_7_34_2 doi: 10.1109/C-M.1981.220381 – ident: e_1_2_7_75_2 doi: 10.1145/566570.566575 – start-page: 101 volume-title: State‐of‐the‐Art Reports, Eurographics'02 year: 2002 ident: e_1_2_7_17_2 – ident: e_1_2_7_68_2 doi: 10.1145/1179352.1141945 – ident: e_1_2_7_89_2 doi: 10.1145/1012551.1012566 – volume-title: SIGGRAPH Course Notes 16 year: 2002 ident: e_1_2_7_40_2 – start-page: 15 year: 1991 ident: e_1_2_7_85_2 article-title: Real pixels publication-title: Graphics Gems 2 – ident: e_1_2_7_12_2 doi: 10.1111/j.1467-8659.2008.01166.x – ident: e_1_2_7_4_2 doi: 10.1145/1399504.1360668 – ident: e_1_2_7_66_2 – start-page: 374 volume-title: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) year: 1999 ident: e_1_2_7_58_2 – volume-title: CIC 13th: Proceedings of the Thirteenth Color Imaging Conference year: 2005 ident: e_1_2_7_90_2 – volume-title: SIGGRAPH'07: ACM SIGGRAPH 2007 papers year: 2007 ident: e_1_2_7_76_2 – ident: e_1_2_7_27_2 – ident: e_1_2_7_33_2 doi: 10.1007/978-3-540-44433-6 – ident: e_1_2_7_60_2 doi: 10.1109/ICCV.2003.1238624 – ident: e_1_2_7_20_2 doi: 10.1145/1186954.1187029 – ident: e_1_2_7_51_2 doi: 10.1117/12.586757 – ident: e_1_2_7_61_2 – ident: e_1_2_7_83_2 doi: 10.1007/978-1-4757-2440-0 – ident: e_1_2_7_3_2 doi: 10.1145/1275808.1276425 – volume-title: High Dynamic Range Video year: 2008 ident: e_1_2_7_57_2 doi: 10.1007/978-3-031-79528-2 – ident: e_1_2_7_42_2 doi: 10.1145/1186822.1073242 – volume-title: The Method of Paired Comparisons year: 1988 ident: e_1_2_7_16_2 – ident: e_1_2_7_5_2 doi: 10.1016/B978-0-08-051581-6.50065-9 – ident: e_1_2_7_84_2 – volume-title: ACM Transactions on Graphics (TOG) year: 2009 ident: e_1_2_7_49_2 – ident: e_1_2_7_79_2 doi: 10.1145/1015706.1015797 – ident: e_1_2_7_30_2 doi: 10.1145/258734.258818 – start-page: 333 volume-title: Proceedings of the IST/SID 14th Color Imaging Conference year: 2006 ident: e_1_2_7_52_2 – volume-title: Color Appearance Models, 2 ed. year: 2005 ident: e_1_2_7_28_2 – ident: e_1_2_7_29_2 doi: 10.1145/566570.566573 – ident: e_1_2_7_23_2 doi: 10.1145/344779.344855 – ident: e_1_2_7_14_2 – ident: e_1_2_7_35_2 doi: 10.1007/s00371-006-0078-3 – ident: e_1_2_7_9_2 doi: 10.1145/1174429.1174489 – start-page: 422 volume-title: Proceedings of IS&T 46th annual conference year: 1995 ident: e_1_2_7_59_2 – ident: e_1_2_7_82_2 – volume-title: Standard Recommendation 709, International Telecommunication Union. year: 1990 ident: e_1_2_7_37_2 – ident: e_1_2_7_78_2 doi: 10.1109/38.376616 – ident: e_1_2_7_73_2 doi: 10.1080/10867651.2002.10487554 – ident: e_1_2_7_45_2 doi: 10.1145/1073204.1073271 – ident: e_1_2_7_63_2 – ident: e_1_2_7_54_2 doi: 10.1145/1179352.1141946 – volume-title: High Dynamic Range Imaging: Acquisition, Display and Image‐Based Lighting year: 2005 ident: e_1_2_7_77_2 – ident: e_1_2_7_18_2 doi: 10.1145/566570.566574 – ident: e_1_2_7_36_2 – ident: e_1_2_7_69_2 doi: 10.1145/1342250.1342282 – ident: e_1_2_7_92_2 doi: 10.1145/1230100.1230103
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Snippet	In the last few years, researchers in the field of High Dynamic Range (HDR) Imaging have focused on providing tools for expanding Low Dynamic Range (LDR)...
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SubjectTerms	Algorithms Computer graphics Data compression Digital imaging high dynamic range imaging I.3.3 [Compression (Coding)]: Approximate methods I.3.3 [Picture/Image Generation]: Display algorithms I.4.2 [Digitization and Image Capture]: Quantization image compression image expansion Image processing systems inverse/reverse tone mapping Systems design VDTs Video display terminals
Title	High Dynamic Range Imaging and Low Dynamic Range Expansion for Generating HDR Content
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