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 591–600 of 983 papers

Title	Date	Tasks	Status	Hype
Domain Adaptation for Underwater Image Enhancement via Content and Style Separation	Feb 17, 2022	Domain AdaptationImage Enhancement	CodeCode Available	1
Learning to Adapt to Light	Feb 16, 2022	Exposure CorrectionImage Enhancement	—Unverified	0
Low-light Image Enhancement by Retinex Based Algorithm Unrolling and Adjustment	Feb 12, 2022	Deep LearningImage Enhancement	—Unverified	0
Performance Evaluation of Infrared Image Enhancement Techniques	Feb 7, 2022	AstronomyImage Enhancement	—Unverified	0
Accurate super-resolution low-field brain MRI	Feb 7, 2022	DiagnosticImage Enhancement	—Unverified	0
A comprehensive benchmark analysis for sand dust image reconstruction	Feb 7, 2022	Image EnhancementImage Reconstruction	—Unverified	0
S2MS: Self-Supervised Learning Driven Multi-Spectral CT Image Enhancement	Jan 25, 2022	Image EnhancementSelf-Supervised Learning	—Unverified	0
DocEnTr: An End-to-End Document Image Enhancement Transformer	Jan 25, 2022	BinarizationDecoder	CodeCode Available	1
Linear Array Network for Low-light Image Enhancement	Jan 22, 2022	Image EnhancementLow-Light Image Enhancement	CodeCode Available	0
Identification of chicken egg fertility using SVM classifier based on first-order statistical feature extraction	Jan 10, 2022	Image Enhancement	—Unverified	0

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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