7 citations · 7 across the 2 of their papers we have counts for
3 papers
eess.IV2021
Degraded Reference Image Quality Assessment
Shahrukh Athar, Zhou Wang
In practical media distribution systems, visual content usually undergoes multiple stages of quality degradation along the delivery chain, but the pristine source content is rarely…
eess.IV2021
Deep Image Debanding
Raymond Zhou, Shahrukh Athar, Zhongling Wang +1
Banding or false contour is an annoying visual artifact whose impact is even more pronounced in ultra high definition, high dynamic range, and wide colour gamut visual content, whi…
eess.IV2021★ 7 cited
Deep Neural Networks for Blind Image Quality Assessment: Addressing the Data Challenge
Shahrukh Athar, Zhongling Wang, Zhou Wang
The enormous space and diversity of natural images is usually represented by a few small-scale human-rated image quality assessment (IQA) datasets. This casts great challenges to d…