3 citations · 3 across the 5 of their papers we have counts for
6 papers
Real-Time Scene-Adaptive Tone Mapping for High-Dynamic Range Object Detection
Gongzhe Li, Linwei Qiu, Peibei Cao +3
High-dynamic-range (HDR) images, with their rich tone and detail reproduction, hold significant potential to enhance computer vision systems, particularly in autonomous driving. Ho…
Learned HDR Image Compression for Perceptually Optimal Storage and Display
Peibei Cao, Haoyu Chen, Jingzhe Ma +5
High dynamic range (HDR) capture and display have seen significant growth in popularity driven by the advancements in technology and increasing consumer demand for superior image q…
Perceptual Assessment and Optimization of HDR Image Rendering
Peibei Cao, Rafal K. Mantiuk, Kede Ma
High dynamic range (HDR) rendering has the ability to faithfully reproduce the wide luminance ranges in natural scenes, but how to accurately assess the rendering quality is relati…
Image Quality Assessment: Integrating Model-Centric and Data-Centric Approaches
Peibei Cao, Dingquan Li, Kede Ma
Learning-based image quality assessment (IQA) has made remarkable progress in the past decade, but nearly all consider the two key components -- model and data -- in isolation. Spe…
A Perceptually Optimized and Self-Calibrated Tone Mapping Operator
Peibei Cao, Chenyang Le, Yuming Fang +1
With the increasing popularity and accessibility of high dynamic range (HDR) photography, tone mapping operators (TMOs) for dynamic range compression are practically demanding. In…
Debiased Subjective Assessment of Real-World Image Enhancement
Cao Peibei, Wang Zhangyang, Ma Kede
In real-world image enhancement, it is often challenging (if not impossible) to acquire ground-truth data, preventing the adoption of distance metrics for objective quality assessm…