Training Quality-Aware Filters for No-Reference Image Quality Assessment

10.1109/LSP.2012.2227726

10.1109/TIP.2011.2109730

larson, 2010, Most Apparent Distortion: Full-Reference Image Quality Assessment and the Role of Strategy, J Electronic Imaging, 19, 3440

10.1109/TIP.2006.881959

10.1109/CVPR.2013.133

10.1109/CVPR.2011.5995446

10.1023/A:1010933404324

ngiam, 0, Sparse Filtering, Proc Advances in Neural Information Processing Systems, 1125

schmidt, 2005, minfunc

10.1088/0954-898X/5/4/006

ponomarenko, 0, Color Image Database TID2013: Peculiarities and Preliminary Results, Proc European Workshop on Visual Information Processing, 106

10.1109/TIP.2012.2214050

10.1109/TIP.2012.2191563

ye, 0, Unsupervised Feature Learning Framework for No-Reference Image Quality Assessment, Proc IEEE Int'l Conf Computer Vision and Pattern Recognition, 1098

10.1109/TIP.2011.2147325

10.1109/LSP.2010.2043888

10.1109/LSP.2010.2045550

10.1109/TIP.2012.2190086