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 76–100 of 983 papers

TitleStatusHype
Enhanced MRI brain tumor detection and classification via topological data analysis and low-rank tensor decompositionCode1
Underwater Image Enhancement with Physical-based Denoising Diffusion Implicit ModelsCode1
Semi-LLIE: Semi-supervised Contrastive Learning with Mamba-based Low-light Image EnhancementCode1
For Overall Nighttime Visibility: Integrate Irregular Glow Removal With Glow-Aware EnhancementCode1
Fundus image enhancement through direct diffusion bridgesCode1
Ultrasound Image Enhancement with the Variance of Diffusion ModelsCode1
CUNSB-RFIE: Context-aware Unpaired Neural Schr"odinger Bridge in Retinal Fundus Image EnhancementCode1
Retinex-RAWMamba: Bridging Demosaicing and Denoising for Low-Light RAW Image EnhancementCode1
KAN See In the DarkCode1
Unveiling Advanced Frequency Disentanglement Paradigm for Low-Light Image EnhancementCode1
O-Mamba: O-shape State-Space Model for Underwater Image EnhancementCode1
Unrolled Decomposed Unpaired Learning for Controllable Low-Light Video EnhancementCode1
Prompt-Guided Image-Adaptive Neural Implicit Lookup Tables for Interpretable Image EnhancementCode1
ExpoMamba: Exploiting Frequency SSM Blocks for Efficient and Effective Image EnhancementCode1
UniProcessor: A Text-induced Unified Low-level Image ProcessorCode1
Joint RGB-Spectral Decomposition Model Guided Image Enhancement in Mobile PhotographyCode1
NamedCurves: Learned Image Enhancement via Color NamingCode1
DPEC: Dual-Path Error Compensation Method for Enhanced Low-Light Image ClarityCode1
EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule EndoscopyCode1
Sagiri: Low Dynamic Range Image Enhancement with Generative Diffusion PriorCode1
PixMamba: Leveraging State Space Models in a Dual-Level Architecture for Underwater Image EnhancementCode1
CE-VAE: Capsule Enhanced Variational AutoEncoder for Underwater Image EnhancementCode1
Diff-Mosaic: Augmenting Realistic Representations in Infrared Small Target Detection via Diffusion PriorCode1
LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-DiffusionCode1
Underwater Variable Zoom: Depth-Guided Perception Network for Underwater Image EnhancementCode1
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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