1 code implementation • 4 Jan 2024 • Xuanhua He, Tao Hu, Guoli Wang, Zejin Wang, Run Wang, Qian Zhang, Keyu Yan, Ziyi Chen, Rui Li, Chenjun Xie, Jie Zhang, Man Zhou
However, current methods often ignore the difference between cell phone RAW images and DSLR camera RGB images, a difference that goes beyond the color matrix and extends to spatial structure due to resolution variations.
no code implementations • 9 Mar 2023 • Zejin Wang, Jiazheng Liu, Hao Zhai, Hua Han
Self-supervised blind denoising for Poisson-Gaussian noise remains a challenging task.
1 code implementation • CVPR 2022 • Zejin Wang, Jiazheng Liu, Guoqing Li, Hua Han
Self-supervised denoisers, which learn only from single noisy images, solve the data collection problem.
no code implementations • 17 Jan 2021 • Zejin Wang, Guodong Sun, Lina Zhang, Guoqing Li, Hua Han
The TSA interpolation module aggregates temporal contexts and then adaptively samples the spatial-related features with the proposed residual spatial adaptive block.
no code implementations • 23 Apr 2020 • Zejin Wang, Guoqing Li, Xi Chen, Hua Han
The continuity of biological tissue between consecutive biomedical images makes it possible for the video interpolation algorithm, to recover large area defects and tears that are common in biomedical images.