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 301–325 of 983 papers

TitleStatusHype
MuLA-GAN: Multi-Level Attention GAN for Enhanced Underwater Visibility—0
Revealing Shadows: Low-Light Image Enhancement Using Self-Calibrated Illumination—0
Texture Matching GAN for CT Image Enhancement—0
JoReS-Diff: Joint Retinex and Semantic Priors in Diffusion Model for Low-light Image Enhancement—0
ClassLIE: Structure- and Illumination-Adaptive Classification for Low-Light Image Enhancement—0
Ultrasound Image Enhancement using CycleGAN and Perceptual LossCode0
System Integration of Xilinx DPU and HDMI for Real-Time inference in PYNQ Environment with Image Enhancement—0
Enlighten-Your-Voice: When Multimodal Meets Zero-shot Low-light Image EnhancementCode0
A Case Study of Image Enhancement Algorithms' Effectiveness of Improving Neural Networks' Performance on Adverse Images—0
DiffuseRAW: End-to-End Generative RAW Image Processing for Low-Light Images—0
DGNet: Dynamic Gradient-Guided Network for Water-Related Optics Image Enhancement—0
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
UIEDP:Underwater Image Enhancement with Diffusion PriorCode1
A Layer-Wise Tokens-to-Token Transformer Network for Improved Historical Document Image EnhancementCode1
SRTransGAN: Image Super-Resolution using Transformer based Generative Adversarial Network—0
Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image EnhancementCode1
LDM-ISP: Enhancing Neural ISP for Low Light with Latent Diffusion Models—0
Boosting Object Detection with Zero-Shot Day-Night Domain AdaptationCode1
Advancements and Trends in Ultra-High-Resolution Image Processing: An Overview—0
Is Underwater Image Enhancement All Object Detectors Need?Code1
Towards ultra-low-cost smartphone microscopy—0
Wavelet-based Fourier Information Interaction with Frequency Diffusion Adjustment for Underwater Image RestorationCode1
FLAIR: A Conditional Diffusion Framework with Applications to Face Video RestorationCode0
CLIP Guided Image-perceptive Prompt Learning for Image Enhancement—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