Cover Image

Nonlocal Retinex-Based Variational Model and its Deep Unfolding Twin for Low-Light Image Enhancement

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Torres, Daniel, Duran, Joan, Navarro, Julia, Sbert, Catalina
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

HistRetinex: Optimizing Retinex model in Histogram Domain for Efficient Low-Light Image Enhancement
by: Zhao, Jingtian, et al.
Published: (2025)

DI-Retinex: Digital-Imaging Retinex Theory for Low-Light Image Enhancement
by: Sun, Shangquan, et al.
Published: (2024)

LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Models
by: Jiang, Hai, et al.
Published: (2024)

Poisson Informed Retinex Network for Extreme Low-Light Image Enhancement
by: Rao, Isha, et al.
Published: (2025)

Retinexmamba: Retinex-based Mamba for Low-light Image Enhancement
by: Bai, Jiesong, et al.
Published: (2024)

Low-light Image Enhancement with Retinex Decomposition in Latent Space
by: Zheng, Bolun, et al.
Published: (2026)

ERetinex: Event Camera Meets Retinex Theory for Low-Light Image Enhancement
by: Guo, Xuejian, et al.
Published: (2025)

Multi-Head Attention Residual Unfolded Network for Model-Based Pansharpening
by: Pereira-Sánchez, Ivan, et al.
Published: (2024)

Retinex-RAWMamba: Bridging Demosaicing and Denoising for Low-Light RAW Image Enhancement
by: Chen, Xianmin, et al.
Published: (2024)

Dual Degradation-Inspired Deep Unfolding Network for Low-Light Image Enhancement
by: Wang, Huake, et al.
Published: (2023)

LLEMamba: Low-Light Enhancement via Relighting-Guided Mamba with Deep Unfolding Network
by: Zhang, Xuanqi, et al.
Published: (2024)

JoReS-Diff: Joint Retinex and Semantic Priors in Diffusion Model for Low-light Image Enhancement
by: Wu, Yuhui, et al.
Published: (2023)

IllumFlow: Illumination-Adaptive Low-Light Enhancement via Conditional Rectified Flow and Retinex Decomposition
by: Wei, Wenyang, et al.
Published: (2025)

Multinex: Lightweight Low-light Image Enhancement via Multi-prior Retinex
by: Brateanu, Alexandru, et al.
Published: (2026)

Towards Perfection: Building Inter-component Mutual Correction for Retinex-based Low-light Image Enhancement
by: Cao, Luyang, et al.
Published: (2025)

MambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-then-Local State Space
by: Weng, Jiangwei, et al.
Published: (2024)

Retinex Meets Language: A Physics-Semantics-Guided Underwater Image Enhancement Network
by: Xu, Shixuan, et al.
Published: (2026)

Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representations
by: Chobola, Tomáš, et al.
Published: (2024)

RetinexDualV2: Physically-Grounded Dual Retinex for Generalized UHD Image Restoration
by: Kishawy, Mohab, et al.
Published: (2026)

Retinex-MEF: Retinex-based Glare Effects Aware Unsupervised Multi-Exposure Image Fusion
by: Bai, Haowen, et al.
Published: (2025)

Retinex-Diffusion: On Controlling Illumination Conditions in Diffusion Models via Retinex Theory
by: Xing, Xiaoyan, et al.
Published: (2024)

Deep Joint Unrolling for Deblurring and Low-Light Image Enhancement (JUDE)
by: Vo, Tu, et al.
Published: (2024)

FLARE-BO: Fused Luminance and Adaptive Retinex Enhancement via Bayesian Optimisation for Low-Light Robotic Vision
by: Shankar, Nathan, et al.
Published: (2026)

RetinexDual: Retinex-based Dual Nature Approach for Generalized Ultra-High-Definition Image Restoration
by: Kishawy, Mohab, et al.
Published: (2025)

Consist-Retinex: One-Step Noise-Emphasized Consistency Training Accelerates High-Quality Retinex Enhancement
by: Xu, Jian, et al.
Published: (2025)

DIME-Net: A Dual-Illumination Adaptive Enhancement Network Based on Retinex and Mixture-of-Experts
by: Wang, Ziang, et al.
Published: (2025)

Enhancing Low-light Light Field Images with A Deep Compensation Unfolding Network
by: Lyu, Xianqiang, et al.
Published: (2023)

Zero-Reference Lighting Estimation Diffusion Model for Low-Light Image Enhancement
by: He, Jinhong, et al.
Published: (2024)

RSEND: Retinex-based Squeeze and Excitation Network with Dark Region Detection for Efficient Low Light Image Enhancement
by: Li, Jingcheng, et al.
Published: (2024)

Analytical-Heuristic Modeling and Optimization for Low-Light Image Enhancement
by: Martinez, Axel, et al.
Published: (2024)

Diffusion-Based Low-Light Image Enhancement with Color and Luminance Priors
by: Fu, Xuanshuo, et al.
Published: (2026)

Low-Light Image Enhancement using Event-Based Illumination Estimation
by: Sun, Lei, et al.
Published: (2025)

Latent Disentanglement for Low Light Image Enhancement
by: Zheng, Zhihao, et al.
Published: (2024)

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration
by: He, Chunming, et al.
Published: (2025)

UIE-UnFold: Deep Unfolding Network with Color Priors and Vision Transformer for Underwater Image Enhancement
by: Lei, Yingtie, et al.
Published: (2024)

Entropy-Driven Genetic Optimization for Deep-Feature-Guided Low-Light Image Enhancement
by: Datta, Nirjhor, et al.
Published: (2025)

RCNet: Deep Recurrent Collaborative Network for Multi-View Low-Light Image Enhancement
by: Luo, Hao, et al.
Published: (2024)

LRDUN: A Low-Rank Deep Unfolding Network for Efficient Spectral Compressive Imaging
by: Huang, He, et al.
Published: (2025)

Row-Column Separated Attention Based Low-Light Image/Video Enhancement
by: Dong, Chengqi, et al.
Published: (2026)

Light 'em Up: Enabling Few-Shot Low-Light 3D Gaussian Splatting with Multi-Scale Explicit Retinex Illumination Decoupling
by: Yin, YuHao, et al.
Published: (2026)