Visual-PSNR measure of image quality

•Objective image quality measure (VPSNR) is developed.•VPSNR has good correlation with MOS for compressed images.•VPSNR can be calculated in the spatial domain.•VPSNR coincides with PSNR on conner cases. Objective assessment of image quality is important in numerous image and video processing applic...

Full description

Saved in:

Bibliographic Details
Published in:	Journal of visual communication and image representation Vol. 25; no. 5; pp. 874 - 878
Main Author:	Tanchenko, Alexander
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.07.2014
Subjects:	Algorithms Assessments Block-based compression algorithm Human visual system Image compression Image database Image quality Mean opinion score Metal oxide semiconductors Objective measure of image quality Peak signal-to-noise ratio Subjective image quality Video Visual Image quality Objective measure of image quality Peak signal-to-noise ratio Mean opinion score Image database Human visual system Block-based compression algorithm Subjective image quality
ISSN:	1047-3203, 1095-9076
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Abstract	•Objective image quality measure (VPSNR) is developed.•VPSNR has good correlation with MOS for compressed images.•VPSNR can be calculated in the spatial domain.•VPSNR coincides with PSNR on conner cases. Objective assessment of image quality is important in numerous image and video processing applications. Many objective measures of image quality have been developed for this purpose, of which peak signal-to-noise ratio PSNR is one of the simplest and commonly used. However, it sometimes does not match well with objective mean opinion scores (MOS). This paper presents a novel objective full-reference measure of image quality (VPSNR), which is a modified PSNR measure. It will be shown that VPSNR takes into account some features of the human visual system (HVS). The performance of VPSNR is validated using a data set of four image databases, and in this article it is shown that for images compressed by block-based compression algorithms (like JPEG) the proposed measure in the pixel domain matches well with MOS.
AbstractList	Objective assessment of image quality is important in numerous image and video processing applications. Many objective measures of image quality have been developed for this purpose, of which peak signal-to-noise ratio PSNR is one of the simplest and commonly used. However, it sometimes does not match well with objective mean opinion scores (MOS). This paper presents a novel objective full-reference measure of image quality (VPSNR), which is a modified PSNR measure. It will be shown that VPSNR takes into account some features of the human visual system (HVS). The performance of VPSNR is validated using a data set of four image databases, and in this article it is shown that for images compressed by block-based compression algorithms (like JPEG) the proposed measure in the pixel domain matches well with MOS. •Objective image quality measure (VPSNR) is developed.•VPSNR has good correlation with MOS for compressed images.•VPSNR can be calculated in the spatial domain.•VPSNR coincides with PSNR on conner cases. Objective assessment of image quality is important in numerous image and video processing applications. Many objective measures of image quality have been developed for this purpose, of which peak signal-to-noise ratio PSNR is one of the simplest and commonly used. However, it sometimes does not match well with objective mean opinion scores (MOS). This paper presents a novel objective full-reference measure of image quality (VPSNR), which is a modified PSNR measure. It will be shown that VPSNR takes into account some features of the human visual system (HVS). The performance of VPSNR is validated using a data set of four image databases, and in this article it is shown that for images compressed by block-based compression algorithms (like JPEG) the proposed measure in the pixel domain matches well with MOS.
Author	Tanchenko, Alexander
Author_xml	– sequence: 1 givenname: Alexander surname: Tanchenko fullname: Tanchenko, Alexander email: atanchen@synopsys.com organization: Synopsys Inc., st. Popova, app. 23.D, 197376 Saint-Petersburg, Russia
BookMark	eNqFkD1PwzAQhi1UJErhF7BkYGBJOMd2Eg8MqOJLqgDxtVqOc0aO0qS1k0r996SUiQGmO-ne55XuOSaTtmuRkDMKCQWaXdZJvTHOJylQngBNAIoDMqUgRSwhzya7necxS4EdkeMQagBgkvEpOf9wYdBN_Pz6-BItUYfBY9TZyC31J0br8eT67Qk5tLoJePozZ-T99uZtfh8vnu4e5teL2DCW9XEKaSpzNGNxJkqTYmaLUorMGsttJZELDdwWIMBKVpYiLytNQRdcouWIjM3Ixb535bv1gKFXSxcMNo1usRuCokJQEAUt8jEq91HjuxA8WmVcr3vXtb3XrlEU1M6MqtW3GbUzo4Cq0czIsl_syo__-u0_1NWewtHAxqFXwThsDVbOo-lV1bk_-S_qzH8M
CitedBy_id	crossref_primary_10_1109_JSEN_2024_3524657 crossref_primary_10_1016_j_bspc_2025_108474 crossref_primary_10_1109_ACCESS_2020_3040177 crossref_primary_10_1109_ACCESS_2025_3543542 crossref_primary_10_1109_TGRS_2025_3567469 crossref_primary_10_1016_j_jvcir_2015_08_009 crossref_primary_10_1016_j_atres_2025_06_001 crossref_primary_10_1016_j_jvcir_2015_06_002 crossref_primary_10_1016_j_image_2021_116357 crossref_primary_10_1371_journal_pone_0159251 crossref_primary_10_1093_comjnl_bxy047 crossref_primary_10_1016_j_jksuci_2023_101821 crossref_primary_10_3390_rs16214045 crossref_primary_10_1007_s11277_022_09675_1 crossref_primary_10_2478_amcs_2019_0060 crossref_primary_10_1186_s13640_015_0077_2 crossref_primary_10_1109_TIM_2024_3472902 crossref_primary_10_1109_ACCESS_2018_2867253 crossref_primary_10_1088_1361_6501_ae02b4 crossref_primary_10_1007_s12652_025_05011_0 crossref_primary_10_1109_JSEN_2025_3574423 crossref_primary_10_1109_TNB_2021_3064077 crossref_primary_10_1016_j_displa_2025_103198 crossref_primary_10_1016_j_compbiomed_2022_105934 crossref_primary_10_3390_app122412952 crossref_primary_10_1109_ACCESS_2020_2993146 crossref_primary_10_3390_cancers15194715 crossref_primary_10_1109_ACCESS_2022_3178380 crossref_primary_10_1109_ACCESS_2017_2762399 crossref_primary_10_3390_app14145986 crossref_primary_10_1016_j_imavis_2021_104119 crossref_primary_10_1016_j_isprsjprs_2017_02_016 crossref_primary_10_3390_s19102385 crossref_primary_10_1109_TGRS_2022_3228282 crossref_primary_10_1007_s10462_025_11171_4 crossref_primary_10_3390_cancers16030572 crossref_primary_10_32604_cmc_2024_055150 crossref_primary_10_1109_LAWP_2024_3355361 crossref_primary_10_3390_bioengineering11070739 crossref_primary_10_1016_j_knosys_2022_109997 crossref_primary_10_3390_rs15102547 crossref_primary_10_1063_5_0244356 crossref_primary_10_1007_s12065_019_00313_7 crossref_primary_10_1016_j_eja_2025_127811 crossref_primary_10_4018_IJAMC_292497 crossref_primary_10_1007_s11042_019_08465_5 crossref_primary_10_3390_s25154565 crossref_primary_10_1016_j_displa_2015_10_005 crossref_primary_10_3390_drones8090452 crossref_primary_10_3390_jmse12010007 crossref_primary_10_3390_photonics12060568 crossref_primary_10_1109_LWC_2025_3563231 crossref_primary_10_3390_jimaging11050139 crossref_primary_10_3389_fninf_2023_956600 crossref_primary_10_1016_j_jksuci_2023_101698 crossref_primary_10_1049_ipr2_12117 crossref_primary_10_3788_AOS250859 crossref_primary_10_1016_j_ijepes_2023_109607 crossref_primary_10_3390_e26121110 crossref_primary_10_1109_TITS_2023_3268063 crossref_primary_10_3390_s21134589 crossref_primary_10_1155_2016_9576502 crossref_primary_10_1007_s11277_015_3033_7 crossref_primary_10_1080_01431161_2025_2536883 crossref_primary_10_1109_ACCESS_2024_3448450 crossref_primary_10_1109_JSTARS_2024_3525072 crossref_primary_10_3390_agriculture14101797 crossref_primary_10_1016_j_infrared_2024_105671 crossref_primary_10_1109_TGRS_2025_3547419 crossref_primary_10_1109_TCSVT_2024_3520252 crossref_primary_10_1007_s11432_019_2757_1 crossref_primary_10_1016_j_knosys_2025_114262 crossref_primary_10_1109_JPHOT_2022_3158653 crossref_primary_10_1134_S1054661818020190 crossref_primary_10_1007_s00542_018_3840_3 crossref_primary_10_1016_j_jvcir_2024_104163 crossref_primary_10_1109_TGRS_2024_3349479 crossref_primary_10_1186_s40064_016_2371_6 crossref_primary_10_3390_math12050748 crossref_primary_10_3390_s24123794 crossref_primary_10_1038_s41598_024_74179_w crossref_primary_10_1109_ACCESS_2020_3006359 crossref_primary_10_1109_JSEN_2024_3404950 crossref_primary_10_1016_j_compeleceng_2024_109787 crossref_primary_10_1007_s11760_018_1283_z crossref_primary_10_3390_s24248217 crossref_primary_10_1007_s00521_021_06709_w crossref_primary_10_1109_JSTSP_2019_2953950 crossref_primary_10_1515_nanoph_2019_0475 crossref_primary_10_3390_app13085025 crossref_primary_10_1007_s11042_023_17790_9 crossref_primary_10_7498_aps_73_20241123 crossref_primary_10_1002_ima_22711 crossref_primary_10_3390_s25144296 crossref_primary_10_1016_j_jvcir_2015_01_007 crossref_primary_10_3390_bioengineering12090997 crossref_primary_10_1007_s11042_024_20016_1 crossref_primary_10_1016_j_scitotenv_2024_174329 crossref_primary_10_1109_TGRS_2021_3101491 crossref_primary_10_3390_app14167029 crossref_primary_10_1016_j_neunet_2024_106281 crossref_primary_10_1007_s13042_023_01990_8 crossref_primary_10_1007_s11042_021_11385_y crossref_primary_10_1007_s11760_019_01499_0 crossref_primary_10_1109_MMUL_2024_3354998 crossref_primary_10_1109_TCSVT_2022_3190273 crossref_primary_10_3934_era_2025251 crossref_primary_10_1016_j_compbiomed_2025_110517 crossref_primary_10_1088_1402_4896_adb45d
Cites_doi	10.1007/10719724_16 10.1109/ICIP.1994.413502 10.1109/TIP.2005.859378 10.1109/MSP.2008.930649 10.1109/TIP.2003.819861 10.1109/TIP.2006.881959
ContentType	Journal Article
Copyright	2014 Elsevier Inc.
Copyright_xml	– notice: 2014 Elsevier Inc.
DBID	AAYXX CITATION 7SC 7SP 8FD JQ2 L7M L~C L~D
DOI	10.1016/j.jvcir.2014.01.008
DatabaseName	CrossRef Computer and Information Systems Abstracts Electronics & Communications 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
DatabaseTitle	CrossRef Technology Research Database Computer and Information Systems Abstracts – Academic Electronics & Communications Abstracts ProQuest Computer Science Collection Computer and Information Systems Abstracts Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Professional
DatabaseTitleList	Technology Research Database
DeliveryMethod	fulltext_linktorsrc
Discipline	Journalism & Communications Engineering
EISSN	1095-9076
EndPage	878
ExternalDocumentID	10_1016_j_jvcir_2014_01_008 S1047320314000091
GroupedDBID	--K --M .DC .~1 0R~ 1B1 1~. 1~5 29L 4.4 457 4G. 53G 5GY 5VS 7-5 71M 8P~ 9JN AACTN AAEDT AAEDW AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AAXUO AAYFN ABBOA ABFNM ABJNI ABMAC ABXDB ABYKQ ACDAQ ACGFS ACNNM ACRLP ACZNC ADBBV ADEZE ADFGL ADJOM ADMHC ADMUD ADTZH AEBSH AECPX AEKER AENEX AFKWA AFTJW AGHFR AGUBO AGYEJ AHHHB AHJVU AHZHX AIALX AIEXJ AIKHN AITUG AJBFU AJOXV ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AOUOD ASPBG AVWKF AXJTR AZFZN BJAXD BKOJK BLXMC CAG COF CS3 DM4 DU5 EBS EFBJH EFLBG EJD EO8 EO9 EP2 EP3 F5P FDB FEDTE FGOYB FIRID FNPLU FYGXN G-2 G-Q GBLVA GBOLZ HLZ HVGLF HZ~ IHE J1W JJJVA KOM LG5 LX9 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 R2- RIG ROL RPZ SBC SDF SDG SDP SES SEW SPC SPCBC SST SSV SSZ T5K WH7 WUQ XPP YQT ZMT ZU3 ~G- 9DU AATTM AAXKI AAYWO AAYXX ABWVN ACLOT ACRPL ACVFH ADCNI ADNMO AEIPS AEUPX AFJKZ AFPUW AGQPQ AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP CITATION EFKBS ~HD 7SC 7SP 8FD JQ2 L7M L~C L~D
ID	FETCH-LOGICAL-c336t-202297ec93465bc2e6f8b956fcf4fd9e45a04f8050f93bb57bda10a849ef4ee33
ISICitedReferencesCount	151
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000336891200016&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	1047-3203
IngestDate	Thu Oct 02 15:24:47 EDT 2025 Sat Nov 29 04:56:34 EST 2025 Tue Nov 18 21:55:42 EST 2025 Fri Feb 23 02:24:20 EST 2024
IsPeerReviewed	true
IsScholarly	true
Issue	5
Keywords	Image quality Objective measure of image quality Peak signal-to-noise ratio Mean opinion score Image database Human visual system Block-based compression algorithm Subjective image quality
Language	English
LinkModel	OpenURL
MergedId	FETCHMERGED-LOGICAL-c336t-202297ec93465bc2e6f8b956fcf4fd9e45a04f8050f93bb57bda10a849ef4ee33
Notes	ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23
PQID	1551058187
PQPubID	23500
PageCount	5
ParticipantIDs	proquest_miscellaneous_1551058187 crossref_citationtrail_10_1016_j_jvcir_2014_01_008 crossref_primary_10_1016_j_jvcir_2014_01_008 elsevier_sciencedirect_doi_10_1016_j_jvcir_2014_01_008
PublicationCentury	2000
PublicationDate	July 2014 2014-07-00 20140701
PublicationDateYYYYMMDD	2014-07-01
PublicationDate_xml	– month: 07 year: 2014 text: July 2014
PublicationDecade	2010
PublicationTitle	Journal of visual communication and image representation
PublicationYear	2014
Publisher	Elsevier Inc
Publisher_xml	– name: Elsevier Inc
References	Z. Wang, E. Simoncelli, A. Bovik, Multi-scale structural similarity for image quality assessment, in: IEEE Asilomar Conference on Signals, Systems and Computers, Invited Paper, Nov. 2003. Sheikh, Bovik (b0030) 2006; 15 Yuukou Horita, Keiji Shibata, Yoshikazu Kawayoke, Toyama image database, Available online at Final report from the video quality experts group on the validation of objective models of video quality assessment, Available online at Wang, Li (b0025) 2011; 20 N. Ponomarenko, V. Lukin, A. Zelensky, K. Egiazarian, M. Carli, F. Battisti, Tampere image database 2008 TID2008, version 1.0, Available online at Checkmark benchmark, 2001, Available online at Patrick Le Callet, Florent Autrusseau, Subjective quality assessment IRCCyN/IVC database, Available online at . Wang, Bovik, Sheikh, Simoncelli (b0015) 2004; 13 M. Gaubatz, S.S. Hemami, MeTriX MuX visual quality assessment package, Available online at Teo, Heeger (b0035) 1994; 2 Voloshynovskiy, Herrigel, Baumgaertner, Pu (b0040) 2000; 1768 Wang, Bovik (b0010) 2009; 26 E.C. Larson, D.M. Chandler, The CSIQ image database, Available online at USC-SIPI image database, Available online at Sheikh, Sabir, Bovik (b0095) 2006; 15 10.1016/j.jvcir.2014.01.008_b0045 10.1016/j.jvcir.2014.01.008_b0055 10.1016/j.jvcir.2014.01.008_b0065 Sheikh (10.1016/j.jvcir.2014.01.008_b0095) 2006; 15 10.1016/j.jvcir.2014.01.008_b0020 Voloshynovskiy (10.1016/j.jvcir.2014.01.008_b0040) 2000; 1768 10.1016/j.jvcir.2014.01.008_b0075 10.1016/j.jvcir.2014.01.008_b0060 Wang (10.1016/j.jvcir.2014.01.008_b0025) 2011; 20 10.1016/j.jvcir.2014.01.008_b0070 10.1016/j.jvcir.2014.01.008_b0080 Teo (10.1016/j.jvcir.2014.01.008_b0035) 1994; 2 Wang (10.1016/j.jvcir.2014.01.008_b0010) 2009; 26 Sheikh (10.1016/j.jvcir.2014.01.008_b0030) 2006; 15 10.1016/j.jvcir.2014.01.008_b0005 Wang (10.1016/j.jvcir.2014.01.008_b0015) 2004; 13
References_xml	– reference: M. Gaubatz, S.S. Hemami, MeTriX MuX visual quality assessment package, Available online at: – reference: Z. Wang, E. Simoncelli, A. Bovik, Multi-scale structural similarity for image quality assessment, in: IEEE Asilomar Conference on Signals, Systems and Computers, Invited Paper, Nov. 2003. – reference: E.C. Larson, D.M. Chandler, The CSIQ image database, Available online at: – volume: 20 year: 2011 ident: b0025 article-title: Information content weighting for perceptual image quality assessment publication-title: IEEE Trans. Image Process. – volume: 1768 start-page: 211 year: 2000 end-page: 236 ident: b0040 article-title: A stochastic approach to content adaptive digital image watermarking publication-title: Lect. Notes Comput. Sci. Inform. Hiding – reference: Checkmark benchmark, 2001, Available online at: – volume: 2 start-page: 982 year: 1994 end-page: 986 ident: b0035 article-title: Perceptual image distortion publication-title: IEEE Int. Conf. Image Process. – reference: . – reference: USC-SIPI image database, Available online at: – volume: 13 start-page: 600 year: 2004 end-page: 612 ident: b0015 article-title: Image quality assessment: from error visibility to structural similarity publication-title: IEEE Trans. Image Process. – reference: Patrick Le Callet, Florent Autrusseau, Subjective quality assessment IRCCyN/IVC database, Available online at: – reference: Final report from the video quality experts group on the validation of objective models of video quality assessment, Available online at: – volume: 15 start-page: 3411 year: 2006 end-page: 3452 ident: b0095 article-title: A statistical evaluation of recent full reference image quality assessment algorithms publication-title: IEEE Trans. Image Process. – reference: Yuukou Horita, Keiji Shibata, Yoshikazu Kawayoke, Toyama image database, Available online at: – volume: 15 start-page: 430 year: 2006 end-page: 444 ident: b0030 article-title: Image information and visual quality publication-title: IEEE Trans. Image Process. – reference: N. Ponomarenko, V. Lukin, A. Zelensky, K. Egiazarian, M. Carli, F. Battisti, Tampere image database 2008 TID2008, version 1.0, Available online at: – volume: 26 start-page: 98 year: 2009 end-page: 117 ident: b0010 article-title: Mean squared error: love it or leave it? A new look at signal fidelity measures publication-title: IEEE Signal Process. Mag. – volume: 1768 start-page: 211 year: 2000 ident: 10.1016/j.jvcir.2014.01.008_b0040 article-title: A stochastic approach to content adaptive digital image watermarking publication-title: Lect. Notes Comput. Sci. Inform. Hiding doi: 10.1007/10719724_16 – ident: 10.1016/j.jvcir.2014.01.008_b0045 – ident: 10.1016/j.jvcir.2014.01.008_b0070 – ident: 10.1016/j.jvcir.2014.01.008_b0020 – volume: 2 start-page: 982 year: 1994 ident: 10.1016/j.jvcir.2014.01.008_b0035 article-title: Perceptual image distortion publication-title: IEEE Int. Conf. Image Process. doi: 10.1109/ICIP.1994.413502 – ident: 10.1016/j.jvcir.2014.01.008_b0065 – ident: 10.1016/j.jvcir.2014.01.008_b0005 – ident: 10.1016/j.jvcir.2014.01.008_b0080 – volume: 20 issue: 5 year: 2011 ident: 10.1016/j.jvcir.2014.01.008_b0025 article-title: Information content weighting for perceptual image quality assessment publication-title: IEEE Trans. Image Process. – ident: 10.1016/j.jvcir.2014.01.008_b0060 – volume: 15 start-page: 430 issue: 2 year: 2006 ident: 10.1016/j.jvcir.2014.01.008_b0030 article-title: Image information and visual quality publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2005.859378 – volume: 26 start-page: 98 issue: 1 year: 2009 ident: 10.1016/j.jvcir.2014.01.008_b0010 article-title: Mean squared error: love it or leave it? A new look at signal fidelity measures publication-title: IEEE Signal Process. Mag. doi: 10.1109/MSP.2008.930649 – volume: 13 start-page: 600 issue: 4 year: 2004 ident: 10.1016/j.jvcir.2014.01.008_b0015 article-title: Image quality assessment: from error visibility to structural similarity publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2003.819861 – volume: 15 start-page: 3411 issue: 11 year: 2006 ident: 10.1016/j.jvcir.2014.01.008_b0095 article-title: A statistical evaluation of recent full reference image quality assessment algorithms publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2006.881959 – ident: 10.1016/j.jvcir.2014.01.008_b0075 – ident: 10.1016/j.jvcir.2014.01.008_b0055
SSID	ssj0003934
Score	2.443378
Snippet	•Objective image quality measure (VPSNR) is developed.•VPSNR has good correlation with MOS for compressed images.•VPSNR can be calculated in the spatial... Objective assessment of image quality is important in numerous image and video processing applications. Many objective measures of image quality have been...
SourceID	proquest crossref elsevier
SourceType	Aggregation Database Enrichment Source Index Database Publisher
StartPage	874
SubjectTerms	Algorithms Assessments Block-based compression algorithm Human visual system Image compression Image database Image quality Mean opinion score Metal oxide semiconductors Objective measure of image quality Peak signal-to-noise ratio Subjective image quality Video Visual
Title	Visual-PSNR measure of image quality
URI	https://dx.doi.org/10.1016/j.jvcir.2014.01.008 https://www.proquest.com/docview/1551058187
Volume	25
WOSCitedRecordID	wos000336891200016&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: PRVESC databaseName: Elsevier SD Freedom Collection Journals 2021 customDbUrl: eissn: 1095-9076 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0003934 issn: 1047-3203 databaseCode: AIEXJ dateStart: 19950301 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3fb9MwELbQxgM8IBggxgAFaeIFgpzYSezHCQ0BQtUEY-qb5Ti2aLem09JW-_M5_0rTARV74CWKLNtK8l3uzvZ9dwgdKpVTSRRJtZY6pRLzVDJYrDS8UrwB_0A71vvZ12o0YuMxPwkl4TtXTqBqW3Z9zS__K9TQBmBb6uwt4O4nhQa4B9DhCrDD9Z-AP5t0S3mRnnwffXs78zuALi_EzEbneA7lxlHuwCVduaE2zHxNGvGnC26wS4AZyUrrAF6Qm5-6Pd_kywx3EzLaR55GBWgzN5Ack6GG9NTkIAnFQN0xX2Gnt5zsj0rZ7w9M309XamJTsGbUZUrFbG2D4rn7DdPUBwzGWLSpcJMIO4nAmXA87928KjhotN2jz8fjL70dJtzHFMQ3ijmnXHTfb8_yN7_khoV2bsfpQ_QggJMceZwfoTu63UP3B1kk99BB6DTpZsmbZIPx0z1GhwN5SII8JHOTOEiTIA9P0I-Px6cfPqWhNEaqCCkXIPB5ziut4BXLola5Lg2rYalrlKGm4ZoWElPDcIENJ3VdVHUjMywZ5dpQrQl5inbaeaufoaQhmTGgio0xNWWy4qxsYM2Oa9mAc5OX-yiPH0aokDfeli-5EFtA2Ufv-kGXPm3K9u5l_OIieH7eoxMgQ9sHvo74CNCL9rBLtnq-7IRdCuAC3NHq-e2e5QDdW_8YL9DO4mqpX6K7arWYdFevgpD9AkyQh0M
linkProvider	Elsevier
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=Visual-PSNR+measure+of+image+quality&rft.jtitle=Journal+of+visual+communication+and+image+representation&rft.au=Tanchenko%2C+Alexander&rft.date=2014-07-01&rft.issn=1047-3203&rft.volume=25&rft.issue=5&rft.spage=874&rft.epage=878&rft_id=info:doi/10.1016%2Fj.jvcir.2014.01.008&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_jvcir_2014_01_008
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1047-3203&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1047-3203&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1047-3203&client=summon