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 226–250 of 983 papers

TitleStatusHype
IRSRMamba: Infrared Image Super-Resolution via Mamba-based Wavelet Transform Feature Modulation ModelCode2
WaterMamba: Visual State Space Model for Underwater Image Enhancement—0
Palette-based Color Transfer between Images—0
Multimodal Super-Resolution: Discovering hidden physics and its application to fusion plasmas—0
Retinexmamba: Retinex-based Mamba for Low-light Image EnhancementCode2
Remote Sensing Image Enhancement through Spatiotemporal Filtering—0
Underwater Variable Zoom: Depth-Guided Perception Network for Underwater Image EnhancementCode1
FDCE-Net: Underwater Image Enhancement with Embedding Frequency and Dual Color EncoderCode1
Inhomogeneous illumination image enhancement under ex-tremely low visibility condition—0
PromptCIR: Blind Compressed Image Restoration with Prompt LearningCode1
Spatial-frequency Dual-Domain Feature Fusion Network for Low-Light Remote Sensing Image EnhancementCode1
Sparse Reconstruction of Optical Doppler Tomography with Alternative State Space Model and Attention—0
UVEB: A Large-scale Benchmark and Baseline Towards Real-World Underwater Video EnhancementCode2
NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and ResultsCode5
CRNet: A Detail-Preserving Network for Unified Image Restoration and Enhancement TaskCode2
Text in the Dark: Extremely Low-Light Text Image EnhancementCode0
MambaUIE&SR: Unraveling the Ocean's Secrets with Only 2.8 GFLOPsCode0
On-board classification of underwater images using hybrid classical-quantum CNN based method—0
Improving the perception of visual fiducial markers in the field using Adaptive Active Exposure Control—0
Low-Light Image Enhancement Framework for Improved Object Detection in Fisheye Lens DatasetsCode1
Real-world Instance-specific Image Goal Navigation: Bridging Domain Gaps via Contrastive Learning—0
Equipping Diffusion Models with Differentiable Spatial Entropy for Low-Light Image EnhancementCode1
BG-YOLO: A Bidirectional-Guided Method for Underwater Object Detection—0
Seeing Text in the Dark: Algorithm and Benchmark—0
Separated Attention: An Improved Cycle GAN Based Under Water Image Enhancement Method—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