{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T16:10:08Z","timestamp":1748794208604,"version":"3.41.0"},"reference-count":15,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. &amp; Syst."],"published-print":{"date-parts":[[2016]]},"DOI":"10.1587\/transinf.2015edl8204","type":"journal-article","created":{"date-parts":[[2016,2,29]],"date-time":"2016-02-29T22:10:58Z","timestamp":1456783858000},"page":"773-776","source":"Crossref","is-referenced-by-count":5,"title":["Color-Enriched Gradient Similarity for Retouched Image Quality Evaluation"],"prefix":"10.1587","volume":"E99.D","author":[{"given":"Leida","family":"LI","sequence":"first","affiliation":[{"name":"School of Information and Electrical Engineering, China University of Mining and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"ZHOU","sequence":"additional","affiliation":[{"name":"School of Information and Electrical Engineering, China University of Mining and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinjian","family":"WU","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering, Xidian University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiansheng","family":"QIAN","sequence":"additional","affiliation":[{"name":"School of Information and Electrical Engineering, China University of Mining and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Beijing","family":"CHEN","sequence":"additional","affiliation":[{"name":"School of Computer and Software, Nanjing University of Information Science and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"532","reference":[{"key":"1","unstructured":"[1] D.M. Chandler, \u201cSeven challenges in image quality assessment: Past, present, and future research,\u201d ISRN Signal Process., vol.2013, Article ID 905685, pp.1-53, 2013."},{"key":"2","doi-asserted-by":"crossref","unstructured":"[2] W.S. Lin and C.-C. Jay Kuo, \u201cPerceptual visual quality metrics: A survey,\u201d J. Vis. Commun. Image R., vol.22, no.4, pp.297-312, 2011.","DOI":"10.1016\/j.jvcir.2011.01.005"},{"key":"3","unstructured":"[3] C. Vu, T. Phan, and D. Chandler, \u201cCan current image quality assessment algorithms predict visual quality of enhanced images?,\u201d Online: http:\/\/vision.okstate.edu\/driq\/HVEI_VPC_mini_final.pdf"},{"key":"4","doi-asserted-by":"crossref","unstructured":"[4] C.T. Vu, T.D. Phan, P.S. Banga, and D.M. Chandler, \u201cOn the quality assessment of enhanced images: A database, analysis, and strategies for augmenting existing methods,\u201d Proc. IEEE Southwest Symposium on Image Analysis and Interpretation, pp.181-184, 2012.","DOI":"10.1109\/SSIAI.2012.6202483"},{"key":"5","doi-asserted-by":"crossref","unstructured":"[5] C.T. Vu, T.D. Phan, and D.M. Chandler, \u201cS<sub>3<\/sub>: A spectral and spatial measure of local perceived sharpness in natural images,\u201d IEEE Trans. Image Process., vol.21, no.3, pp.934-945, March 2012.","DOI":"10.1109\/TIP.2011.2169974"},{"key":"6","unstructured":"[6] E.C. Larson and D.M. Chandler, \u201cMost apparent distortion: Full reference image quality assessment and the role of strategy,\u201d J. Electronic Imaging, vol.19, no.1, pp.001006:1-21, March 2010."},{"key":"7","doi-asserted-by":"crossref","unstructured":"[7] Z. Wang, A.C. Bovik, H.R. Sheikh, and E.P. Simoncelli, \u201cImage quality assessment: from error visibility to structural similarity,\u201d IEEE Trans. Image Process., vol.13, no.4, pp.600-612, 2004.","DOI":"10.1109\/TIP.2003.819861"},{"key":"8","doi-asserted-by":"crossref","unstructured":"[8] A.M. Liu, W.S. Lin, and M. Narwaria, \u201cImage quality assessment based on gradient similarity,\u201d IEEE Trans. Image Process., vol.21, no.4, pp.1500-1512, 2012.","DOI":"10.1109\/TIP.2011.2175935"},{"key":"9","doi-asserted-by":"crossref","unstructured":"[9] L. Zhang, Y. Shen, and H.Y. Li, \u201cVSI: A visual saliency induced index for perceptual image quality assessment,\u201d IEEE Trans. Image Process., vol.23, no.10, pp.4270-4281, 2014.","DOI":"10.1109\/TIP.2014.2346028"},{"key":"10","doi-asserted-by":"crossref","unstructured":"[10] P. Zhao, L. Li, and H. Cai, \u201cSaliency guided gradient similarity for fast perceptual blur assessment,\u201d IEICE Trans. Inf. &amp; Syst., vol.E98-D, no.8, pp.1613-1616, 2015.","DOI":"10.1587\/transinf.2015EDL8041"},{"key":"11","doi-asserted-by":"crossref","unstructured":"[11] S.S. David. Hasler, \u201cMeasuring colorfulcolor in real images,\u201d Proc. SPIE Human Vision and Electronic Imaging, pp.87-94, 2003.","DOI":"10.1117\/12.477378"},{"key":"12","unstructured":"[12] C. Vu, T. Phan, and D.M. Chandler, Digitally Retouched Image Quality database, Online: http:\/\/vision.okstate.edu\/index.php?loc=driq"},{"key":"13","doi-asserted-by":"crossref","unstructured":"[13] H.R. Sheikh and A.C. Bovik, \u201cImage information and visual quality,\u201d IEEE Trans. Image Process., vol.15, no.2, pp.430-444, 2006.","DOI":"10.1109\/TIP.2005.859378"},{"key":"14","doi-asserted-by":"crossref","unstructured":"[14] L. Zhang, L. Zhang, X. Mou, and D. Zhang, \u201cFSIM: A feature similarity index for image quality assessment,\u201d IEEE Trans. Image Process., vol.20, no.8, pp.2378-2386, 2011.","DOI":"10.1109\/TIP.2011.2109730"},{"key":"15","doi-asserted-by":"crossref","unstructured":"[15] W. Xue, L. Zhang, X. Mou, and A.C. Bovik, \u201cGradient magnitude similarity deviation: a highly efficient perceptual image quality index,\u201d IEEE Trans. Image Process., vol.23, no.2, pp.684-695, Feb. 2014.","DOI":"10.1109\/TIP.2013.2293423"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E99.D\/3\/E99.D_2015EDL8204\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T15:35:35Z","timestamp":1748792135000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E99.D\/3\/E99.D_2015EDL8204\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"references-count":15,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2016]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2015edl8204","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"type":"print","value":"0916-8532"},{"type":"electronic","value":"1745-1361"}],"subject":[],"published":{"date-parts":[[2016]]}}}