{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T03:30:44Z","timestamp":1773804644086,"version":"3.50.1"},"reference-count":19,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,9]]},"DOI":"10.1109\/icip.2017.8296869","type":"proceedings-article","created":{"date-parts":[[2018,2,22]],"date-time":"2018-02-22T17:03:23Z","timestamp":1519319003000},"page":"3180-3184","source":"Crossref","is-referenced-by-count":18,"title":["Deep blind image quality assessment by employing FR-IQA"],"prefix":"10.1109","author":[{"given":"Jongyoo","family":"Kim","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sanghoon","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","first-page":"1733","article-title":"Convo-lutional neural networks for no-reference image quality assessment","author":"kang","year":"2014","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2012.2227726"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2191563"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2214050"},{"key":"ref14","first-page":"305","article-title":"Learning a blind measure of perceptual image quality","author":"huixuan","year":"2011","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref15","first-page":"1098","article-title":"Un-supervised feature learning framework for no-reference image quality assessment","author":"peng","year":"2012","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref16","first-page":"1","article-title":"Blind image quality assessment via deep learning","volume":"pp","author":"hou","year":"2014","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1016\/j.neucom.2014.12.015","article-title":"No-reference image quality assessment with shearlet transform and deep neural networks","volume":"154","author":"yuming","year":"2015","journal-title":"Neurocomputing"},{"key":"ref18","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"International Conference on Learning Representations"},{"key":"ref19","first-page":"30","article-title":"TID2008 - A database for evaluation of full-reference visual quality assessment metrics","volume":"10","author":"ponomarenko","year":"2009","journal-title":"Advances of Modern Radio Electronics"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2346028"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"2378","DOI":"10.1109\/TIP.2011.2109730","article-title":"FSIM: A feature similarity index for image quality assessment","volume":"20","author":"lin","year":"2011","journal-title":"IEEE Trans Image Process"},{"key":"ref6","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in Neural Information Processing Systems (NIPS)"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2147325"},{"key":"ref8","first-page":"248","article-title":"ImageNet: A large-scale hierarchical image database","author":"jia","year":"2009","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2006.881959"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"684","DOI":"10.1109\/TIP.2013.2293423","article-title":"Gradient magnitude similarity deviation: A highly efficient perceptual image quality index","volume":"23","author":"wufeng","year":"2014","journal-title":"IEEE Trans Image Process"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1364\/JOSA.70.001458"}],"event":{"name":"2017 IEEE International Conference on Image Processing (ICIP)","location":"Beijing","start":{"date-parts":[[2017,9,17]]},"end":{"date-parts":[[2017,9,20]]}},"container-title":["2017 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8267582\/8296222\/08296869.pdf?arnumber=8296869","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,11]],"date-time":"2019-10-11T09:38:35Z","timestamp":1570786715000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8296869\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,9]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/icip.2017.8296869","relation":{},"subject":[],"published":{"date-parts":[[2017,9]]}}}