activity
20182026
most citedGraphIQA: Learning Distortion Graph Representations for Blind Image Quality Assessment

168 citations · 513 across the 28 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

eess.IV2019★ 2 cited

Quality Assessment of Stereoscopic 360-degree Images from Multi-viewports

Jiahua Xu, Ziyuan Luo, Wei Zhou +2

Objective quality assessment of stereoscopic panoramic images becomes a challenging problem owing to the rapid growth of 360-degree contents. Different from traditional 2D image qu…

eess.IV2019★ 121 cited

Tensor Oriented No-Reference Light Field Image Quality Assessment

Wei Zhou, Likun Shi, Zhibo Chen +1

Light field image (LFI) quality assessment is becoming more and more important, which helps to better guide the acquisition, processing and application of immersive media. However,…

eess.IV2019★ 1 cited

No-Reference Light Field Image Quality Assessment Based on Micro-Lens Image

Ziyuan Luo, Wei Zhou, Likun Shi +1

Light field image quality assessment (LF-IQA) plays a significant role due to its guidance to Light Field (LF) contents acquisition, processing and application. The LF can be repre…

eess.IV2019★ 103 cited

No-Reference Light Field Image Quality Assessment Based on Spatial-Angular Measurement

Likun Shi, Wei Zhou, Zhibo Chen +1

Light field image quality assessment (LFI-QA) is a significant and challenging research problem. It helps to better guide light field acquisition, processing and applications. Howe…

cs.MM2019★ 3 cited

Stereoscopic Omnidirectional Image Quality Assessment Based on Predictive Coding Theory

Zhibo Chen, Jiahua Xu, Chaoyi Lin +1

Objective quality assessment of stereoscopic omnidirectional images is a challenging problem since it is influenced by multiple aspects such as projection deformation, field of vie…