938 citations · 976 across the 9 of their papers we have counts for
9 papers
Blind Omnidirectional Image Quality Assessment: Integrating Local Statistics and Global Semantics
Wei Zhou, Zhou Wang
Omnidirectional image quality assessment (OIQA) aims to predict the perceptual quality of omnidirectional images that cover the whole 180360 viewing range of the…
Quality Assessment of Image Super-Resolution: Balancing Deterministic and Statistical Fidelity
Wei Zhou, Zhou Wang
There has been a growing interest in developing image super-resolution (SR) algorithms that convert low-resolution (LR) to higher resolution images, but automatically evaluating th…
Low Radioactive Material Screening and Background Control for the PandaX-4T Experiment
Zhicheng Qian, Lin Si, Abdusalam Abdukerim +76
PandaX-4T is a ton-scale dark matter direct detection experiment using a dual-phase TPC technique at the China Jinping Underground Laboratory. Various ultra-low background technolo…
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…
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network
Weixia Zhang, Kede Ma, Jia Yan +2
We propose a deep bilinear model for blind image quality assessment (BIQA) that handles both synthetic and authentic distortions. Our model consists of two convolutional neural net…