SOTAVerified

Image Enhancement

Image Enhancement is basically improving the interpretability or perception of information in images for human viewers and providing ‘better’ input for other automated image processing techniques. The principal objective of Image Enhancement is to modify attributes of an image to make it more suitable for a given task and a specific observer.

Source: A Comprehensive Review of Image Enhancement Techniques

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 176–200 of 983 papers

TitleStatusHype
UniProcessor: A Text-induced Unified Low-level Image ProcessorCode1
ALEN: A Dual-Approach for Uniform and Non-Uniform Low-Light Image EnhancementCode0
Mamba-UIE: Enhancing Underwater Images with Physical Model ConstraintCode0
Joint RGB-Spectral Decomposition Model Guided Image Enhancement in Mobile PhotographyCode1
S-E Pipeline: A Vision Transformer (ViT) based Resilient Classification Pipeline for Medical Imaging Against Adversarial Attacks—0
AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement—0
Dual High-Order Total Variation Model for Underwater Image RestorationCode0
Adaptive Frequency Enhancement Network for Single Image Deraining—0
Unified-EGformer: Exposure Guided Lightweight Transformer for Mixed-Exposure Image Enhancement—0
Fast Context-Based Low-Light Image Enhancement via Neural Implicit RepresentationsCode2
GLARE: Low Light Image Enhancement via Generative Latent Feature based Codebook RetrievalCode2
Low-Light Image Enhancement Based on Cell Vibration Energy Model and Lightness DifferenceCode0
NamedCurves: Learned Image Enhancement via Color NamingCode1
LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion ModelsCode3
ERD: Exponential Retinex decomposition based on weak space and hybrid nonconvex regularization and its denoising application—0
CAPformer: Compression-Aware Pre-trained Transformer for Low-Light Image Enhancement—0
Image-Conditional Diffusion Transformer for Underwater Image Enhancement—0
A Physical Model-Guided Framework for Underwater Image Enhancement and Depth EstimationCode0
DPEC: Dual-Path Error Compensation Method for Enhanced Low-Light Image ClarityCode1
BiCo-Fusion: Bidirectional Complementary LiDAR-Camera Fusion for Semantic- and Spatial-Aware 3D Object Detection—0
IDA-UIE: An Iterative Framework for Deep Network-based Degradation Aware Underwater Image Enhancement—0
Quality-guided Skin Tone Enhancement for Portrait PhotographyCode0
LU2Net: A Lightweight Network for Real-time Underwater Image Enhancement—0
WaterMono: Teacher-Guided Anomaly Masking and Enhancement Boosting for Robust Underwater Self-Supervised Monocular Depth EstimationCode0
EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule EndoscopyCode1
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All datasetsMIT-Adobe 5kTIP 2018Exposure-ErrorsMIT-Adobe FiveKSICE-GradSICE-Mix

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HG-MTFEPSNR on proRGB25.69—Unverified
2PQDynamicISPPSNR on proRGB25.53—Unverified
3AdaIntPSNR on proRGB25.49—Unverified
4RSFNet-mapPSNR on proRGB25.49—Unverified
5SepLUTPSNR on proRGB25.47—Unverified
6MTFEPSNR on proRGB25.46—Unverified
73D LUTPSNR on proRGB25.21—Unverified
8RetinexformerPSNR on sRGB24.94—Unverified
94D LUTPSNR on proRGB24.61—Unverified
10DIFAR (MSCA, level 1)PSNR on proRGB24.2—Unverified
#ModelMetricClaimedVerifiedStatus
1ESDNet-LPSNR30.11—Unverified
2MBCNNPSNR30.03—Unverified
3ESDNetPSNR29.81—Unverified
4Uformer-BPSNR29.28—Unverified
5MopNetPSNR27.75—Unverified
6DMCNNPSNR26.77—Unverified
#ModelMetricClaimedVerifiedStatus
1Exposure-slotPSNR23.18—Unverified
2CSECPSNR22.73—Unverified
3LCDPNetPSNR22.17—Unverified
4IATPSNR20.34—Unverified
5MSECPSNR20.21—Unverified
#ModelMetricClaimedVerifiedStatus
1TreEnhanceDeltaE11.25—Unverified
#ModelMetricClaimedVerifiedStatus
1CIDNetAverage PSNR13.45—Unverified
#ModelMetricClaimedVerifiedStatus
1CIDNetAverage PSNR13.43—Unverified