10 papers
SSPFormer: Self-Supervised Pretrained Transformer for MRI Images
Jingkai Li, Xiaoze Tian, Yuhang Shen +4
The pre-trained transformer demonstrates remarkable generalization ability in natural image processing. However, directly transferring it to magnetic resonance images faces two key…
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…
Foggy Crowd Counting: Combining Physical Priors and KAN-Graph
Yuhao Wang, Zhuoran Zheng, Han Hu +3
Aiming at the key challenges of crowd counting in foggy environments, such as long-range target blurring, local feature degradation, and image contrast attenuation, this paper prop…
Hazy Pedestrian Trajectory Prediction via Physical Priors and Graph-Mamba
Jian Chen, Zhuoran Zheng, Han Hu +4
To address the issues of physical information degradation and ineffective pedestrian interaction modeling in pedestrian trajectory prediction under hazy weather conditions, we prop…