H2TF for Hyperspectral Image Denoising: Where Hierarchical Nonlinear Transform Meets Hierarchical Matrix Factorization

no code implementations • 21 Apr 2023 • Jiayi Li, Jinyu Xie, YiSi Luo, XiLe Zhao, Jianli Wang

In the t-SVD, there are two key building blocks: (i) the low-rank enhanced transform and (ii) the accompanying low-rank characterization of transformed frontal slices.

Hyperspectral Image Denoising Image Denoising

Uncertainty-Aware Unsupervised Image Deblurring with Deep Residual Prior

no code implementations • CVPR 2023 • Xiaole Tang, XiLe Zhao, Jun Liu, Jianli Wang, Yuchun Miao, Tieyong Zeng

To address this challenge, we suggest a dataset-free deep residual prior for the kernel induced error (termed as residual) expressed by a customized untrained deep neural network, which allows us to flexibly adapt to different blurs and images in real scenarios.

Deblurring Image Deblurring