8 papers
DCA-LUT: Deep Chromatic Alignment with 5D LUT for Purple Fringing Removal
Jialang Lu, Shuning Sun, Pu Wang +6
Purple fringing, a persistent artifact caused by Longitudinal Chromatic Aberration (LCA) in camera lenses, has long degraded the clarity and realism of digital imaging. Traditional…
4KDehazeFlow: Ultra-High-Definition Image Dehazing via Flow Matching
Xingchi Chen, Pu Wang, Xuerui Li +7
Ultra-High-Definition (UHD) image dehazing faces challenges such as limited scene adaptability in prior-based methods and high computational complexity with color distortion in dee…
CAST-LUT: Tokenizer-Guided HSV Look-Up Tables for Purple Flare Removal
Pu Wang, Shuning Sun, Jialang Lu +7
Purple flare, a diffuse chromatic aberration artifact commonly found around highlight areas, severely degrades the tone transition and color of the image. Existing traditional meth…
A PDE-Based Image Dehazing Method via Atmospheric Scattering Theory
Liubing Hu, Pu Wang, Guangwei Gao +2
This paper introduces a novel partial differential equation (PDE) framework for single-image dehazing. We embed the atmospheric scattering model into a PDE featuring edge-preservin…
UHD Image Dehazing via anDehazeFormer with Atmospheric-aware KV Cache
Pu Wang, Pengwen Dai, Chen Wu +5
In this paper, we propose an efficient visual transformer framework for ultra-high-definition (UHD) image dehazing that addresses the key challenges of slow training speed and high…
AgentPolyp: Accurate Polyp Segmentation via Image Enhancement Agent
Pu Wang, Zhihua Zhang, Dianjie Lu +3
Since human and environmental factors interfere, captured polyp images usually suffer from issues such as dim lighting, blur, and overexposure, which pose challenges for downstream…