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cs.CV2026

S2WMamba: A Wavelet-Assisted Mamba-Based Dual-Branch Network For Pansharpening

Haoyu Zhang, Junhan Luo, Yugang Cao +2

Pansharpening fuses a high-resolution panchromatic (PAN) image with a low-resolution multispectral (LRMS) image to produce a high-resolution multispectral (HRMS) image. A key diffi…

cs.CV2025

NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Results

Xiaoning Liu, Zongwei Wu, Florin-Alexandru Vasluianu +102

This paper presents a comprehensive review of the NTIRE 2025 Low-Light Image Enhancement (LLIE) Challenge, highlighting the proposed solutions and final outcomes. The objective of…

cs.CV2025

Seeing through Unclear Glass: Occlusion Removal with One Shot

Qiang Li, Yuanming Cao

Images taken through window glass are often degraded by contaminants adhered to the glass surfaces. Such contaminants cause occlusions that attenuate the incoming light and scatter…

cs.CV2025

FusionNet: Multi-model Linear Fusion Framework for Low-light Image Enhancement

Kangbiao Shi, Yixu Feng, Tao Hu +5

The advent of Deep Neural Networks (DNNs) has driven remarkable progress in low-light image enhancement (LLIE), with diverse architectures (e.g., CNNs and Transformers) and color s…

cs.CV2024

CRNet: A Detail-Preserving Network for Unified Image Restoration and Enhancement Task

Kangzhen Yang, Tao Hu, Kexin Dai +6

In real-world scenarios, images captured often suffer from blurring, noise, and other forms of image degradation, and due to sensor limitations, people usually can only obtain low…