{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T15:08:53Z","timestamp":1772204933751,"version":"3.50.1"},"reference-count":122,"publisher":"Association for Computing Machinery (ACM)","issue":"2","license":[{"start":{"date-parts":[[2023,9,14]],"date-time":"2023-09-14T00:00:00Z","timestamp":1694649600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Comput. Surv."],"published-print":{"date-parts":[[2024,2,29]]},"abstract":"<jats:p>The rapid emergence of new portable capturing technologies has significantly increased the number and diversity of document images acquired for business and personal applications. The performance of document image processing systems and applications depends directly on the quality of the document images captured. Therefore, estimating the document's image quality is an essential step in the early stages of the document analysis pipeline. This article surveys research on Document Image Quality Assessment (DIQA). We first provide a detailed analysis of both subjective and objective DIQA methods. Subjective methods, including ratings and pair-wise comparison-based approaches, are based on human opinions. Objective methods are based on quantitative measurements, including document modeling and human perception-based methods. Second, we summarize the types and sources of document degradations and techniques used to model degradations. In addition, we thoroughly review two standard measures to characterize document image quality: Optical Character Recognition (OCR)-based and objective human perception-based. Finally, we outline open challenges regarding developing DIQA methods and provide insightful discussion and future research directions for this problem. This survey will become an essential resource for the document analysis research community and serve as a basis for future research.<\/jats:p>","DOI":"10.1145\/3606692","type":"journal-article","created":{"date-parts":[[2023,6,30]],"date-time":"2023-06-30T11:57:49Z","timestamp":1688126269000},"page":"1-36","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":15,"title":["Document Image Quality Assessment: A Survey"],"prefix":"10.1145","volume":"56","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1669-2606","authenticated-orcid":false,"given":"Alireza","family":"Alaei","sequence":"first","affiliation":[{"name":"Faculty of Science and Engineering, Southern Cross University, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8962-157X","authenticated-orcid":false,"given":"Vinh","family":"Bui","sequence":"additional","affiliation":[{"name":"Faculty of Science and Engineering, Southern Cross University, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1639-4561","authenticated-orcid":false,"given":"David","family":"Doermann","sequence":"additional","affiliation":[{"name":"University at Buffalo, Buffalo, NY, The USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5426-2618","authenticated-orcid":false,"given":"Umapada","family":"Pal","sequence":"additional","affiliation":[{"name":"Indian Statistical Institute, Kolkata, India"}]}],"member":"320","published-online":{"date-parts":[[2023,9,14]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0262-8856(98)00068-7"},{"key":"e_1_3_1_3_2","unstructured":"International Standards - ISO\/TC 42. 2022. Retrieved September 23 2022 from https:\/\/www.imaging.org\/site\/IST\/Standards\/TC_42__Standards_\/IST\/Standards\/TC42.aspx?hkey=208a8a91-14da-4b6a-a92d-7637238308e4."},{"key":"e_1_3_1_4_2","unstructured":"ISO 20462-1:2005 Photography \u2014 Psychophysical experimental methods for estimating image quality \u2014 Part 1: Overview of psychophysical elements. 2022. Retrieved September 23 2022 from https:\/\/www.iso.org\/standard\/38330.html."},{"key":"e_1_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/QoMEX.2011.6065702"},{"key":"e_1_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.1995.538547"},{"key":"e_1_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/DAS.2018.42"},{"key":"e_1_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.2352\/ISSN.2470-1173.2020.9.IQSP-323"},{"key":"e_1_3_1_9_2","unstructured":"A. Radford K. Narasimhan T. Salimans and I. Sutskever. 2018. Improving language understanding by generative pre-training. https:\/\/www.mikecaptain.com\/resources\/pdf\/GPT-1.pdf."},{"key":"e_1_3_1_10_2","volume-title":"Proceedings of the NAACL-HLT 2019","author":"Devlin J.","year":"2019","unstructured":"J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova. 2019. BERT: Pre-training of deep bidirectional transformers for language understanding. In Proceedings of the NAACL-HLT 2019, 4171--4186."},{"key":"e_1_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.05.007"},{"key":"e_1_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.culher.2017.10.001"},{"key":"e_1_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2019.04.009"},{"key":"e_1_3_1_14_2","doi-asserted-by":"publisher","DOI":"10.1145\/313238.313387"},{"key":"e_1_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2013.148"},{"key":"e_1_3_1_16_2","first-page":"34","volume-title":"Proceedings of the Image Quality and System Performance, International Society for Optics and Photonics","year":"2003","unstructured":"E. N. Dalal, Allan Haley, Mark Robb, Dale Mashtare, John Briggs, Paul L. Jeran, Ted Bouk, and John Deubert. 2003. INCITS W1. 1 standards for perceptual evaluation of text and line quality. In Proceedings of the Image Quality and System Performance, International Society for Optics and Photonics. 34\u201338."},{"key":"e_1_3_1_17_2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2943319"},{"key":"e_1_3_1_18_2","doi-asserted-by":"publisher","DOI":"10.1145\/3507901"},{"key":"e_1_3_1_19_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-02611-9_83"},{"key":"e_1_3_1_20_2","doi-asserted-by":"publisher","DOI":"10.1109\/EUVIP.2018.8611786"},{"key":"e_1_3_1_21_2","first-page":"1","volume-title":"Presented at the Camera based Document Analysis and Recognition","year":"2009","unstructured":"Nikolay Ponomarenko, Vladimir Lukin, Alexander Zelensky, Karen Egiazarian, Jaakko Astola, Marco Carli, and Federica Battisti. 2009. An OCR assessment of the quality of document images acquired with portable digital cameras. Presented at the Camera based Document Analysis and Recognition, Barcelona, Spain, 1\u20135."},{"key":"e_1_3_1_22_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2007.4376979"},{"key":"e_1_3_1_23_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.40"},{"key":"e_1_3_1_24_2","first-page":"3","article-title":"Statistical image differences, degradation features, and character distance metrics","volume":"6","author":"Smith E. B.","year":"2003","unstructured":"E. B. Smith and X. Qiu. 2003. Statistical image differences, degradation features, and character distance metrics. Document Analysis and Recognition 6 (2003), 3.","journal-title":"Document Analysis and Recognition"},{"key":"e_1_3_1_25_2","article-title":"Structural approaches to image quality assessment. Handb","author":"Wang Z.","year":"2005","unstructured":"Z. Wang, A. C. Bovik, and E. P. Simoncelli. 2005. Structural approaches to image quality assessment. Handb. Image Video Process 7, 18 (2005), 2--33.","journal-title":"Image Video Process"},{"key":"e_1_3_1_26_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"e_1_3_1_27_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2015.7333747"},{"key":"e_1_3_1_28_2","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2008.930649"},{"key":"e_1_3_1_29_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2019.00221"},{"key":"e_1_3_1_30_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2465145"},{"key":"e_1_3_1_31_2","doi-asserted-by":"publisher","DOI":"10.1109\/DAS.2018.14"},{"key":"e_1_3_1_32_2","doi-asserted-by":"publisher","DOI":"10.3390\/jimaging7090168"},{"key":"e_1_3_1_33_2","doi-asserted-by":"publisher","DOI":"10.3390\/jimaging6100102"},{"key":"e_1_3_1_34_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10032-011-0165-5"},{"key":"e_1_3_1_35_2","doi-asserted-by":"publisher","DOI":"10.1109\/DAS.2014.25"},{"key":"e_1_3_1_36_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-84628-726-8_12"},{"key":"e_1_3_1_37_2","doi-asserted-by":"publisher","DOI":"10.1109\/BIOSIG52210.2021.9548294"},{"key":"e_1_3_1_38_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2007.4378715"},{"key":"e_1_3_1_39_2","first-page":"3292","volume-title":"Proceedings of the International Conference on Pattern Recognition","author":"Kumar J.","year":"2012","unstructured":"J. Kumar, F. Chen, and D. Doermann. 2012. Sharpness estimation for document and scene images. In Proceedings of the International Conference on Pattern Recognition. 3292\u20133295."},{"key":"e_1_3_1_40_2","article-title":"Character-based automated human perception quality assessment in document images","author":"Obafemi-Ajayi T.","year":"2011","unstructured":"T. Obafemi-Ajayi and G. Agam. 2011. Character-based automated human perception quality assessment in document images. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans 42, 3 (2011), 584--595.","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans"},{"key":"e_1_3_1_41_2","doi-asserted-by":"publisher","DOI":"10.1109\/ASAR.2018.8480372"},{"key":"e_1_3_1_42_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2011.6116204"},{"key":"e_1_3_1_43_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2003.1227717"},{"key":"e_1_3_1_44_2","first-page":"3204","volume-title":"Proceedings of the International Conference on Pattern Recognition","author":"Ye P.","year":"2012","unstructured":"P. Ye and D. Doermann. 2012. Learning features for predicting OCR accuracy. In Proceedings of the International Conference on Pattern Recognition. 3204\u20133207."},{"key":"e_1_3_1_45_2","first-page":"94020L","volume-title":"Proceedings of the Document Recognition and Retrieval XXII, International Society for Optics and Photonics","author":"Nayef N.","year":"2015","unstructured":"N. Nayef and J.-M. Ogier. 2015. Metric-based no-reference quality assessment of heterogeneous document images. In Proceedings of the Document Recognition and Retrieval XXII, International Society for Optics and Photonics. 94020L."},{"key":"e_1_3_1_46_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.1995.599003"},{"key":"e_1_3_1_47_2","first-page":"79","volume-title":"Proceedings of the International Workshop on Camera based Document Analysis and Recognition","author":"Kumar D.","year":"2011","unstructured":"D. Kumar and A. Ramakrishnan. 2011. QUAD: Quality assessment of documents. In Proceedings of the International Workshop on Camera based Document Analysis and Recognition. 79\u201384."},{"key":"e_1_3_1_48_2","doi-asserted-by":"publisher","DOI":"10.1007\/s100320050039"},{"key":"e_1_3_1_49_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.1993.395692"},{"key":"e_1_3_1_50_2","doi-asserted-by":"publisher","DOI":"10.5555\/646260.685261"},{"key":"e_1_3_1_51_2","first-page":"426","volume-title":"Proceedings of the International Conference on Pattern Recognition","author":"Park J.-S.","year":"2000","unstructured":"J.-S. Park, H.-J. Kang, and S.-W. Lee. 2000. Automatic quality measurement of gray-scale handwriting based on extended average entropy. In Proceedings of the International Conference on Pattern Recognition. 426\u2013429."},{"key":"e_1_3_1_52_2","doi-asserted-by":"publisher","DOI":"10.1109\/DAS.2016.33"},{"key":"e_1_3_1_53_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2019.00201"},{"key":"e_1_3_1_54_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.11.101"},{"key":"e_1_3_1_55_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01421-6_27"},{"key":"e_1_3_1_56_2","doi-asserted-by":"publisher","DOI":"10.1145\/2168556.2168593"},{"key":"e_1_3_1_57_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-69812-8_1"},{"key":"e_1_3_1_58_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-77281-8_26"},{"key":"e_1_3_1_59_2","doi-asserted-by":"publisher","DOI":"10.1109\/DAS.2016.53"},{"key":"e_1_3_1_60_2","doi-asserted-by":"publisher","DOI":"10.1109\/34.625107"},{"key":"e_1_3_1_61_2","first-page":"1","volume-title":"Proceedings of the Annual Symposium on Document Analysis and Information Retrieval","author":"Baird H. S.","year":"1993","unstructured":"H. S. Baird. 1993. Calibration of document image defect models. In Proceedings of the Annual Symposium on Document Analysis and Information Retrieval. 1\u201316."},{"key":"e_1_3_1_62_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.1999.791824"},{"key":"e_1_3_1_63_2","first-page":"1","volume-title":"Proceedings of the International Conference On Document Analysis and Recognition","author":"Baird H. S.","year":"1991","unstructured":"H. S. Baird. 1991. A 100-font classifier. In Proceedings of the International Conference On Document Analysis and Recognition. St.-Malo, France, 1\u201313."},{"key":"e_1_3_1_64_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.1993.395781"},{"key":"e_1_3_1_65_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.1993.395633"},{"key":"e_1_3_1_66_2","doi-asserted-by":"publisher","DOI":"10.5555\/238113"},{"key":"e_1_3_1_67_2","first-page":"193","volume-title":"Proceedings of the International Conference on Image Processing","author":"Zheng Q.","year":"2001","unstructured":"Q. Zheng and T. Kanungo. 2001. Morphological degradation models and their use in document image restoration. In Proceedings of the International Conference on Image Processing. 193\u2013196."},{"key":"e_1_3_1_68_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2004.1265867"},{"key":"e_1_3_1_69_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.1999.791825"},{"key":"e_1_3_1_70_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10032-008-0076-2"},{"key":"e_1_3_1_71_2","doi-asserted-by":"publisher","DOI":"10.21236\/ADA447997"},{"key":"e_1_3_1_72_2","doi-asserted-by":"publisher","DOI":"10.21236\/ADA447997"},{"key":"e_1_3_1_73_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2551244"},{"key":"e_1_3_1_74_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2000.905409"},{"key":"e_1_3_1_75_2","article-title":"Characterization of image degradation caused by scanning","volume":"19","author":"Smith E. H. B.","year":"1998","unstructured":"E. H. B. Smith. 1998. Characterization of image degradation caused by scanning. Pattern Recognition Letters 19, 13 (1998), 1191--1197.","journal-title":"Pattern Recognition Letters"},{"key":"e_1_3_1_76_2","first-page":"14","volume-title":"Proceedings of the International Conference on Imaging Science, Systems, and Technology","author":"Norris M.","year":"2004","unstructured":"M. Norris and E. H. Barney Smith. 2004. Printer modeling for document imaging. In Proceedings of the International Conference on Imaging Science, Systems, and Technology. Las Vegas, NV, 14\u201320."},{"key":"e_1_3_1_77_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2001.953968"},{"key":"e_1_3_1_78_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2015.7333866"},{"key":"e_1_3_1_79_2","doi-asserted-by":"publisher","DOI":"10.1117\/12.706484"},{"key":"e_1_3_1_80_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2004.1334167"},{"key":"e_1_3_1_81_2","doi-asserted-by":"publisher","DOI":"10.1109\/DIAL.2006.23"},{"key":"e_1_3_1_82_2","doi-asserted-by":"publisher","DOI":"10.1108\/17563780910939282"},{"key":"e_1_3_1_83_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-5281-6_52"},{"key":"e_1_3_1_84_2","doi-asserted-by":"publisher","DOI":"10.1117\/12.766784"},{"key":"e_1_3_1_85_2","first-page":"217","volume-title":"Validation and estimation of document degradation models. Presented at the Symposium for Document Analysis and Information Retrieval","author":"Kanungo T.","year":"1995","unstructured":"T. Kanungo, H. S. Baird, and R. M. Haralick. 1995. Validation and estimation of document degradation models. Presented at the Symposium for Document Analysis and Information Retrieval. Las Vegas, NV, 217\u2013228."},{"key":"e_1_3_1_86_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.1995.602007"},{"key":"e_1_3_1_87_2","article-title":"A statistical, nonparametric methodology for document degradation model validation","author":"Kanungo T.","year":"2000","unstructured":"T. Kanungo, R. M. Haralick, H. S. Baird, W. Stuezle, and D. Madigan. 2000. A statistical, nonparametric methodology for document degradation model validation. IEEE Transactions on Pattern Analysis and Machine Intelligence 22, 11 (2000), 1209--1223.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"e_1_3_1_88_2","doi-asserted-by":"publisher","DOI":"10.1109\/34.481536"},{"key":"e_1_3_1_89_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10032-017-0294-6"},{"key":"e_1_3_1_90_2","doi-asserted-by":"publisher","DOI":"10.1109\/CONFLUENCE.2016.7508157"},{"key":"e_1_3_1_91_2","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2003.821748"},{"key":"e_1_3_1_92_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2018.8545433"},{"key":"e_1_3_1_93_2","doi-asserted-by":"publisher","DOI":"10.1109\/DAS.2016.24"},{"key":"e_1_3_1_94_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2014.7025520"},{"key":"e_1_3_1_95_2","doi-asserted-by":"publisher","DOI":"10.1109\/DAS.2014.11"},{"key":"e_1_3_1_96_2","doi-asserted-by":"publisher","DOI":"10.1109\/DAS.2014.72"},{"key":"e_1_3_1_97_2","first-page":"113","volume-title":"Proceedings of the International Workshop on Camera-Based Document Analysis and Recognition","author":"Kumar J.","year":"2013","unstructured":"J. Kumar, P. Ye, and D. Doermann. 2013. A dataset for quality assessment of camera-captured document images. In Proceedings of the International Workshop on Camera-Based Document Analysis and Recognition. Springer, 113\u2013125."},{"key":"e_1_3_1_98_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2052820"},{"key":"e_1_3_1_99_2","doi-asserted-by":"publisher","DOI":"10.3390\/math9172155"},{"key":"e_1_3_1_100_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-57058-3_13"},{"key":"e_1_3_1_101_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7532968"},{"key":"e_1_3_1_102_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2019.00094"},{"key":"e_1_3_1_103_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2017.139"},{"key":"e_1_3_1_104_2","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.1982.4767199"},{"issue":"6","key":"e_1_3_1_105_2","first-page":"1048","article-title":"Evaluation of handprinting variation of characters using variation entropy","volume":"71","author":"Hase H.","year":"1988","unstructured":"H. Hase, M. Yoneda, M. Sakai, and J. Yoshida. 1988. Evaluation of handprinting variation of characters using variation entropy. IEICE Transactions 71, 6 (1988), 1048\u20131056.","journal-title":"IEICE Transactions"},{"key":"e_1_3_1_106_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2011.284"},{"key":"e_1_3_1_107_2","doi-asserted-by":"publisher","DOI":"10.1109\/DAS.2018.32"},{"key":"e_1_3_1_108_2","doi-asserted-by":"publisher","DOI":"10.1080\/02564602.2016.1151385"},{"key":"e_1_3_1_109_2","volume-title":"Synthesis Lectures on Image, Video, and Multimedia Processing","author":"Wang Z.","year":"2006","unstructured":"Z. Wang and A. C. Bovik (Eds.). 2006. Modern image quality assessment. In Synthesis Lectures on Image, Video, and Multimedia Processing. Springer, 1--16."},{"key":"e_1_3_1_110_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.02.084"},{"key":"e_1_3_1_111_2","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2951747"},{"key":"e_1_3_1_112_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2711279"},{"key":"e_1_3_1_113_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.132"},{"key":"e_1_3_1_114_2","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO55093.2022.9909773"},{"key":"e_1_3_1_115_2","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO55093.2022.9909529"},{"key":"e_1_3_1_116_2","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1828\/1\/012033"},{"key":"e_1_3_1_117_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2011.301"},{"key":"e_1_3_1_118_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2015.7333960"},{"key":"e_1_3_1_119_2","unstructured":"H. R. Sheikh Z. Wang L. K. Cormack and A. C. Bovik. 2004. LIVE image quality assessment database release 2. [Online]. Available: http:\/\/live.ece.utexas.edu\/research\/quality."},{"key":"e_1_3_1_120_2","doi-asserted-by":"publisher","DOI":"10.1117\/1.3267105"},{"key":"e_1_3_1_121_2","first-page":"30","article-title":"TID2008 - A database for evaluation of full-reference visual quality assessment metrics","volume":"10","author":"Ponomarenko N.","year":"2009","unstructured":"N. Ponomarenko et\u00a0al. 2009. TID2008 - A database for evaluation of full-reference visual quality assessment metrics. Advances of Modern Radioelectronics 10 (2009), 30\u201345.","journal-title":"Advances of Modern Radioelectronics"},{"key":"e_1_3_1_122_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11760-016-1009-z"},{"key":"e_1_3_1_123_2","doi-asserted-by":"publisher","DOI":"10.1109\/IPTA.2015.7367194"}],"container-title":["ACM Computing Surveys"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3606692","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3606692","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:48:51Z","timestamp":1750182531000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3606692"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,14]]},"references-count":122,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2024,2,29]]}},"alternative-id":["10.1145\/3606692"],"URL":"https:\/\/doi.org\/10.1145\/3606692","relation":{},"ISSN":["0360-0300","1557-7341"],"issn-type":[{"value":"0360-0300","type":"print"},{"value":"1557-7341","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,9,14]]},"assertion":[{"value":"2021-07-21","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-06-22","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-09-14","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}