2 papers
eess.IV2025
Unrolling Nonconvex Graph Total Variation for Image Denoising
Songlin Wei, Gene Cheung, Fei Chen +1
Conventional model-based image denoising optimizations employ convex regularization terms, such as total variation (TV) that convexifies the -norm to promote sparse signal…
eess.IV2025
Unrolling Plug-and-Play Gradient Graph Laplacian Regularizer for Image Restoration
Jianghe Cai, Gene Cheung, Fei Chen
Generic deep learning (DL) networks for image restoration like denoising and interpolation lack mathematical interpretability, require voluminous training data to tune a large para…