activity
20202026
most citedHyperspectral Image Denoising Using Non-convex Local Low-rank and Sparse Separation with Spatial-Spectral Total Variation Regularization

35 citations · 51 across the 32 of their papers we have counts for

collaborators
Showing eess.IVShow all

5 papers · 1 filter

eess.IV2026

Vision-Language Controlled Deep Unfolding for Joint Medical Image Restoration and Segmentation

Ping Chen, Zicheng Huang, Xiangming Wang +4

We propose VL-DUN, a principled framework for joint All-in-One Medical Image Restoration and Segmentation (AiOMIRS) that bridges the gap between low-level signal recovery and high-…

eess.IV2025

Generative Model-Assisted Demosaicing for Cross-multispectral Cameras

Jiahui Luo, Kai Feng, Haijin Zeng +1

As a crucial part of the spectral filter array (SFA)-based multispectral imaging process, spectral demosaicing has exploded with the proliferation of deep learning techniques. Howe…

eess.IV2024★ 2 cited

MIPI 2024 Challenge on Demosaic for HybridEVS Camera: Methods and Results

Yaqi Wu, Zhihao Fan, Xiaofeng Chu +46

The increasing demand for computational photography and imaging on mobile platforms has led to the widespread development and integration of advanced image sensors with novel algor…

eess.IV2023★ 3 cited

MSFA-Frequency-Aware Transformer for Hyperspectral Images Demosaicing

Haijin Zeng, Kai Feng, Shaoguang Huang +5

Hyperspectral imaging systems that use multispectral filter arrays (MSFA) capture only one spectral component in each pixel. Hyperspectral demosaicing is used to recover the non-me…

eess.IV2022★ 35 cited

Hyperspectral Image Denoising Using Non-convex Local Low-rank and Sparse Separation with Spatial-Spectral Total Variation Regularization

Chong Peng, Yang Liu, Yongyong Chen +5

In this paper, we propose a novel nonconvex approach to robust principal component analysis for HSI denoising, which focuses on simultaneously developing more accurate approximatio…