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 801–825 of 983 papers

TitleStatusHype
WavEnhancer: Unifying Wavelet and Transformer for Image Enhancement—0
Weighted Histogram Equalization Using Entropy of Probability Density Function—0
When Image Decomposition Meets Deep Learning: A Novel Infrared and Visible Image Fusion Method—0
Where Do You Go? Pedestrian Trajectory Prediction using Scene Features—0
You Do Not Need Additional Priors or Regularizers in Retinex-Based Low-Light Image Enhancement—0
Zero-LED: Zero-Reference Lighting Estimation Diffusion Model for Low-Light Image Enhancement—0
Zero-Shot Low Light Image Enhancement with Diffusion Prior—0
Zero-Shot Single Image Restoration Through Controlled Perturbation of Koschmieder's Model—0
On-board classification of underwater images using hybrid classical-quantum CNN based method—0
On Box-Cox Transformation for Image Normality and Pattern Classification—0
On the Duality Between Retinex and Image Dehazing—0
On the limits of perceptual quality measures for enhanced underwater images—0
On the Robustness of Normalizing Flows for Inverse Problems in Imaging—0
Optical Coherence Tomography Image Enhancement via Block Hankelization and Low Rank Tensor Network Approximation—0
Advancing Unsupervised Low-light Image Enhancement: Noise Estimation, Illumination Interpolation, and Self-RegulationCode0
Deep Bilateral Learning for Real-Time Image EnhancementCode0
A Non-Uniform Low-Light Image Enhancement Method with Multi-Scale Attention Transformer and Luminance Consistency LossCode0
CUR Transformer: A Convolutional Unbiased Regional Transformer for Image DenoisingCode0
An Improved Chicken Swarm Optimization Algorithm for Handwritten Document Image EnhancementCode0
STAR: A Structure and Texture Aware Retinex ModelCode0
Enlighten-Your-Voice: When Multimodal Meets Zero-shot Low-light Image EnhancementCode0
Enhancing Underwater Imaging with 4-D Light Fields: Dataset and MethodCode0
Enhancing Low-Light Images with Kolmogorov–Arnold Networks in Transformer AttentionCode0
Σ-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image ReconstructionCode0
Stochastic Capsule Endoscopy Image EnhancementCode0
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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