activity
20172026
most citedImage Restoration for Remote Sensing: Overview and Toolbox

158 citations · 362 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2026

NEC-Diff: Noise-Robust Event-RAW Complementary Diffusion for Seeing Motion in Extreme Darkness

Haoyue Liu, Jinghan Xu, Luxin Feng +4

High-quality imaging of dynamic scenes in extremely low-light conditions is highly challenging. Photon scarcity induces severe noise and texture loss, causing significant image deg…

cs.CV2025

RPD-Diff: Region-Adaptive Physics-Guided Diffusion Model for Visibility Enhancement under Dense and Non-Uniform Haze

Ruicheng Zhang, Puxin Yan, Zeyu Zhang +3

Single-image dehazing under dense and non-uniform haze conditions remains challenging due to severe information degradation and spatial heterogeneity. Traditional diffusion-based d…

eess.IV2021★ 158 cited

Image Restoration for Remote Sensing: Overview and Toolbox

Benhood Rasti, Yi Chang, Emanuele Dalsasso +2

Remote sensing provides valuable information about objects or areas from a distance in either active (e.g., RADAR and LiDAR) or passive (e.g., multispectral and hyperspectral) mode…

eess.IV2021★ 87 cited

Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery

Yi-Si Luo, Xi-Le Zhao, Tai-Xiang Jiang +3

In this paper, we study multi-dimensional image recovery. Recently, transform-based tensor nuclear norm minimization methods are considered to capture low-rank tensor structures to…

eess.IV2021★ 6 cited

Closing the Loop: Joint Rain Generation and Removal via Disentangled Image Translation

Yuntong Ye, Yi Chang, Hanyu Zhou +1

Existing deep learning-based image deraining methods have achieved promising performance for synthetic rainy images, typically rely on the pairs of sharp images and simulated rainy…

cs.CV2020

Unsupervised Hyperspectral Mixed Noise Removal Via Spatial-Spectral Constrained Deep Image Prior

Yi-Si Luo, Xi-Le Zhao, Tai-Xiang Jiang +2

Recently, convolutional neural network (CNN)-based methods are proposed for hyperspectral images (HSIs) denoising. Among them, unsupervised methods such as the deep image prior (DI…

cs.CV2018★ 80 cited

Rain Streak Removal for Single Image via Kernel Guided CNN

Ye-Tao Wang, Xi-Le Zhao, Tai-Xiang Jiang +3

Rain streak removal is an important issue and has recently been investigated extensively. Existing methods, especially the newly emerged deep learning methods, could remove the rai…

cs.CV2017★ 31 cited

Weighted Low-rank Tensor Recovery for Hyperspectral Image Restoration

Yi Chang, Luxin Yan, Houzhang Fang +2

Hyperspectral imaging, providing abundant spatial and spectral information simultaneously, has attracted a lot of interest in recent years. Unfortunately, due to the hardware limit…