2 citations · 4 across the 4 of their papers we have counts for
4 papers
Exploring Distortion Prior with Latent Diffusion Models for Remote Sensing Image Compression
Junhui Li, Jutao Li, Xingsong Hou +1
Deep learning-based image compression algorithms typically focus on designing encoding and decoding networks and improving the accuracy of entropy model estimation to enhance the r…
Dual Degradation-Inspired Deep Unfolding Network for Low-Light Image Enhancement
Huake Wang, Xingsong Hou, Chengcu Liu +3
Although low-light image enhancement has achieved great stride based on deep enhancement models, most of them mainly stress on enhancement performance via an elaborated black-box n…
Division Gets Better: Learning Brightness-Aware and Detail-Sensitive Representations for Low-Light Image Enhancement
Huake Wang, Xiaoyang Yan, Xingsong Hou +3
Low-light image enhancement strives to improve the contrast, adjust the visibility, and restore the distortion in color and texture. Existing methods usually pay more attention to…
Sparsity and Coefficient Permutation Based Two-Domain AMP for Image Block Compressed Sensing
Junhui Li, Xingsong Hou, Huake Wang +1
The learned denoising-based approximate message passing (LDAMP) algorithm has attracted great attention for image compressed sensing (CS) tasks. However, it has two issues: first,…