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 501–525 of 983 papers

TitleStatusHype
IA2U: A Transfer Plugin with Multi-Prior for In-Air Model to Underwater—0
Learning to See Low-Light Images via Feature Domain Adaptation—0
SRTransGAN: Image Super-Resolution using Transformer based Generative Adversarial Network—0
LDM-ISP: Enhancing Neural ISP for Low Light with Latent Diffusion Models—0
Advancements and Trends in Ultra-High-Resolution Image Processing: An Overview—0
Towards ultra-low-cost smartphone microscopy—0
FLAIR: A Conditional Diffusion Framework with Applications to Face Video RestorationCode0
CLIP Guided Image-perceptive Prompt Learning for Image Enhancement—0
Zero-Shot Enhancement of Low-Light Image Based on Retinex DecompositionCode0
Low-Dose CT Image Enhancement Using Deep Learning—0
UWFormer: Underwater Image Enhancement via a Semi-Supervised Multi-Scale TransformerCode0
Unifying Image Processing as Visual Prompting Question Answering—0
ITRE: Low-light Image Enhancement Based on Illumination Transmission Ratio Estimation—0
Towards A Robust Group-level Emotion Recognition via Uncertainty-Aware Learning—0
LoLi-IEA: low-light image enhancement algorithm—0
Bootstrap Diffusion Model Curve Estimation for High Resolution Low-Light Image Enhancement—0
Training Your Image Restoration Network Better with Random Weight Network as Optimization Function—0
Training Your Image Restoration Network Better with Random Weight Network as Optimization Function—0
Multi-image Tranformer for Multi-focus Image FusionCode0
Forensic Video Analytic Software—0
Dual-Camera Joint Deblurring-Denoising—0
AOSR-Net: All-in-One Sandstorm Removal Network—0
Improving Deep Learning-based Defect Detection on Window Frames with Image Processing Strategies—0
DEFormer: DCT-driven Enhancement Transformer for Low-light Image and Dark Vision—0
UnitModule: A Lightweight Joint Image Enhancement Module for Underwater Object Detection—0
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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
3RSFNet-mapPSNR on proRGB25.49—Unverified
4AdaIntPSNR 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