7 citations · 9 across the 4 of their papers we have counts for
5 papers · 1 filter
Unifying Image Quality Assessment Datasets: MOSAIQ-500K and MOSAIQ-Bench
Wenbo Yang, Zhongling Wang, Jialu Xu +2
Image quality assessment (IQA) datasets use different subjective protocols and rating scales, so their scores are not directly comparable. The lack of a common perceptual scale hin…
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…
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…
Quantifying Visual Image Quality: A Bayesian View
Zhengfang Duanmu, Wentao Liu, Zhongling Wang +1
Image quality assessment (IQA) models aim to establish a quantitative relationship between visual images and their perceptual quality by human observers. IQA modeling plays a speci…
FocusLiteNN: High Efficiency Focus Quality Assessment for Digital Pathology
Zhongling Wang, Mahdi S. Hosseini, Adyn Miles +2
Out-of-focus microscopy lens in digital pathology is a critical bottleneck in high-throughput Whole Slide Image (WSI) scanning platforms, for which pixel-level automated Focus Qual…