Low-Light Image Enhancement
115 papers with code • 21 benchmarks • 21 datasets
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.
Benchmarks
These leaderboards are used to track progress in Low-Light Image Enhancement
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Libraries
Use these libraries to find Low-Light Image Enhancement models and implementations
LOL
3DMatch
AFLW
SID
DICM
LLVIP
ExDark
MIT-Adobe FiveK
SMID
Most implemented papers
Image Demoireing with Learnable Bandpass Filters
zhenngbolun/Learnbale_Bandpass_Filter
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CVPR 2020
Image demoireing is a multi-faceted image restoration task involving both texture and color restoration.
Learning an Adaptive Model for Extreme Low-light Raw Image Processing
Furthermore, those tests illustrate that the proposed method is able to adaptively control the global image brightness according to the content of the image scene.
Visual Perception Model for Rapid and Adaptive Low-light Image Enhancement
The core of VP model is to decompose the light source into light intensity and light spatial distribution to describe the perception process of HVS, offering refinement estimation of illumination and reflectance.
Low-light Image Enhancement Using the Cell Vibration Model
Then, based on the unique mathematical properties of the energy model and combined with the gamma correction model, a new global lightness enhancement model is proposed.
Burst Photography for Learning to Enhance Extremely Dark Images
hucvl/dark-burst-photography
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Capturing images under extremely low-light conditions poses significant challenges for the standard camera pipeline.
Better Than Reference In Low Light Image Enhancement: Conditional Re-Enhancement Networks
The network takes low light images as input and the enhanced V channel as condition, then it can re-enhance the contrast and brightness of the low light image and at the same time reduce noise and color distortion.
DALE : Dark Region-Aware Low-light Image Enhancement
dokyeongK/DALE
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In this paper, we present a novel low-light image enhancement method called dark region-aware low-light image enhancement (DALE), where dark regions are accurately recognized by the proposed visual attention module and their brightness are intensively enhanced.
Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image Enhancement
Low-light image enhancement plays very important roles in low-level vision field.
Representative Color Transform for Image Enhancement
MagicGeorge/RCTNet
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IEEE International Conference on Computer Vision 2021
Recently, the encoder-decoder and intensity transformation approaches lead to impressive progress in image enhancement.
Seeing Dynamic Scene in the Dark: A High-Quality Video Dataset With Mechatronic Alignment
dvlab-research/sdsd
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ICCV 2021
Low-light video enhancement is an important task.
