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Low-Light Image Enhancement

Low-Light Image Enhancement is a computer vision task that involves improving the quality of images captured under low-light conditions. The goal of low-light image enhancement is to make images brighter, clearer, and more visually appealing, without introducing too much noise or distortion.

Papers

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Showing 151–200 of 316 papers

TitleStatusHype
Striving for Faster and Better: A One-Layer Architecture with Auto Re-parameterization for Low-Light Image EnhancementCode0
ERetinex: Event Camera Meets Retinex Theory for Low-Light Image EnhancementCode0
Low-Light Image and Video Enhancement: A Comprehensive Survey and BeyondCode0
BLNet: A Fast Deep Learning Framework for Low-Light Image Enhancement with Noise Removal and Color RestorationCode0
Advancing Unsupervised Low-light Image Enhancement: Noise Estimation, Illumination Interpolation, and Self-RegulationCode0
Low-light image enhancement based on sharpening-smoothing image filterCode0
Extremely Low-light Image Enhancement with Scene Text RestorationCode0
Low-Light Image Enhancement Based on Cell Vibration Energy Model and Lightness DifferenceCode0
STAR: A Structure and Texture Aware Retinex ModelCode0
Learning to Kindle the StarlightCode0
Deep Retinex Decomposition for Low-Light EnhancementCode0
DeepSPG: Exploring Deep Semantic Prior Guidance for Low-light Image Enhancement with Multimodal LearningCode0
A Non-Uniform Low-Light Image Enhancement Method with Multi-Scale Attention Transformer and Luminance Consistency LossCode0
Seeing Motion in the DarkCode0
VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image EnhancementCode0
LIME-Eval: Rethinking Low-light Image Enhancement Evaluation via Object DetectionCode0
Restoring Extremely Dark Images in Real TimeCode0
LIME: Low-light Image Enhancement via Illumination Map EstimationCode0
Attention Guided Low-light Image Enhancement with a Large Scale Low-light Simulation DatasetCode0
Low-light Image Enhancement Using the Cell Vibration ModelCode0
WARLearn: Weather-Adaptive Representation LearningCode0
Linear Array Network for Low-light Image EnhancementCode0
SurroundNet: Towards Effective Low-Light Image EnhancementCode0
ALEN: A Dual-Approach for Uniform and Non-Uniform Low-Light Image EnhancementCode0
Entropy-Driven Genetic Optimization for Deep-Feature-Guided Low-Light Image EnhancementCode0
Brightness Perceiving for Recursive Low-Light Image EnhancementCode0
HiLLIE: Human-in-the-Loop Training for Low-Light Image EnhancementCode0
DLEN: Dual Branch of Transformer for Low-Light Image Enhancement in Dual DomainsCode0
LLNet: A Deep Autoencoder Approach to Natural Low-light Image EnhancementCode0
Towards Realistic Low-Light Image Enhancement via ISP Driven Data ModelingCode0
Rethinking the Atmospheric Scattering-driven Attention via Channel and Gamma Correction Priors for Low-Light Image EnhancementCode0
Self-supervision via Controlled Transformation and Unpaired Self-conditioning for Low-light Image EnhancementCode0
DPFNet: A Dual-branch Dilated Network with Phase-aware Fourier Convolution for Low-light Image EnhancementCode0
Test-Time Training with Self-Supervision for Generalization under Distribution ShiftsCode0
Zero-Shot Enhancement of Low-Light Image Based on Retinex DecompositionCode0
Image Enhancement Based on Histogram-Guided Multiple Transformation Function EstimationCode0
Attention based Broadly Self-guided Network for Low light Image EnhancementCode0
Dual High-Order Total Variation Model for Underwater Image RestorationCode0
Training Your Image Restoration Network Better with Random Weight Network as Optimization Function—0
Progressive Retinex: Mutually Reinforced Illumination-Noise Perception Network for Low Light Image Enhancement—0
Training Your Image Restoration Network Better with Random Weight Network as Optimization Function—0
Quarter Laplacian Filter for Edge Aware Image Processing—0
Zero-Shot Single Image Restoration Through Controlled Perturbation of Koschmieder's Model—0
Rain Removal and Illumination Enhancement Done in One Go—0
Random Weights Networks Work as Loss Prior Constraint for Image Restoration—0
JoReS-Diff: Joint Retinex and Semantic Priors in Diffusion Model for Low-light Image Enhancement—0
Color-wise Attention Network for Low-light Image Enhancement—0
CuDi: Curve Distillation for Efficient and Controllable Exposure Adjustment—0
CURVE: CLIP-Utilized Reinforcement Learning for Visual Image Enhancement via Simple Image Processing—0
Cycle-Interactive Generative Adversarial Network for Robust Unsupervised Low-Light Enhancement—0
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