Name
Abstract | ||
|---|---|---|
Automatically learned quality assessment for images has recently become a hot topic due to its usefulness in a wide variety of applications, such as evaluating image capture pipelines, storage techniques, and sharing media. Despite the subjective nature of this problem, most existing methods only predict the mean opinion score provided by data sets, such as AVA and TID2013. Our approach differs fr... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TIP.2018.2831899 | IEEE Transactions on Image Processing |
Keywords | DocType | Volume |
Standards,Quality assessment,Image quality,Distortion,Histograms,Training,Task analysis | Journal | 27 |
Issue | ISSN | Citations |
8 | 1057-7149 | 45 |
PageRank | References | Authors |
1.29 | 33 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| hossein talebi | 1 | 48 | 3.75 |
| Peyman Milanfar | 2 | 3284 | 155.61 |