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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 721–730 of 983 papers

Title	Date	Tasks	Status
Exploring Low-light Object Detection Techniques	Jul 30, 2021	Image EnhancementObject	—Unverified
Exposure Normalization and Compensation for Multiple-Exposure Correction	Jan 1, 2022	Exposure CorrectionImage Enhancement	—Unverified
Face Image Lighting Enhancement Using a 3D Model	Jul 2, 2022	3D geometryFace Alignment	—Unverified
Face Image Quality Enhancement Study for Face Recognition	Jul 8, 2023	Face Image QualityFace Recognition	—Unverified
Fast Dust Sand Image Enhancement Based on Color Correction and New Membership Function	Jul 27, 2023	Image EnhancementSand	—Unverified
Fast Enhancement for Non-Uniform Illumination Images using Light-weight CNNs	May 31, 2020	Image Enhancement	—Unverified
Feature Attention Network (FA-Net): A Deep-Learning Based Approach for Underwater Single Image Enhancement	Aug 30, 2023	Image Enhancement	—Unverified
Feature Enhancer Segmentation Network (FES-Net) for Vessel Segmentation	Sep 7, 2023	DecoderImage Enhancement	—Unverified
Feedback Graph Attention Convolutional Network for Medical Image Enhancement	Jun 24, 2020	Diffusion MRIGraph Attention	—Unverified
FGF-GAN: A Lightweight Generative Adversarial Network for Pansharpening via Fast Guided Filter	Dec 31, 2020	Generative Adversarial NetworkImage Enhancement	—Unverified

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All datasets MIT-Adobe 5k TIP 2018 Exposure-Errors MIT-Adobe FiveK SICE-Grad SICE-Mix

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	HG-MTFE	PSNR on proRGB	25.69	—	Unverified
2	PQDynamicISP	PSNR on proRGB	25.53	—	Unverified
3	RSFNet-map	PSNR on proRGB	25.49	—	Unverified
4	AdaInt	PSNR on proRGB	25.49	—	Unverified
5	SepLUT	PSNR on proRGB	25.47	—	Unverified
6	MTFE	PSNR on proRGB	25.46	—	Unverified
7	3D LUT	PSNR on proRGB	25.21	—	Unverified
8	Retinexformer	PSNR on sRGB	24.94	—	Unverified
9	4D LUT	PSNR on proRGB	24.61	—	Unverified
10	DIFAR (MSCA, level 1)	PSNR on proRGB	24.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ESDNet-L	PSNR	30.11	—	Unverified
2	MBCNN	PSNR	30.03	—	Unverified
3	ESDNet	PSNR	29.81	—	Unverified
4	Uformer-B	PSNR	29.28	—	Unverified
5	MopNet	PSNR	27.75	—	Unverified
6	DMCNN	PSNR	26.77	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Exposure-slot	PSNR	23.18	—	Unverified
2	CSEC	PSNR	22.73	—	Unverified
3	LCDPNet	PSNR	22.17	—	Unverified
4	IAT	PSNR	20.34	—	Unverified
5	MSEC	PSNR	20.21	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TreEnhance	DeltaE	11.25	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CIDNet	Average PSNR	13.45	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CIDNet	Average PSNR	13.43	—	Unverified