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 801–810 of 983 papers

Title	Date	Tasks	Status
Visual Perception Model for Rapid and Adaptive Low-light Image Enhancement	May 15, 2020	Computational EfficiencyImage Enhancement	—Unverified
Flexible Example-based Image Enhancement with Task Adaptive Global Feature Self-Guided Network	May 13, 2020	Image Enhancement	—Unverified
Encoding in the Dark Grand Challenge: An Overview	May 7, 2020	DenoisingImage Enhancement	—Unverified
Unsupervised Low-light Image Enhancement with Decoupled Networks	May 6, 2020	Image EnhancementImage-to-Image Translation	—Unverified
Reconstruction of high-resolution 6x6-mm OCT angiograms using deep learning	Apr 19, 2020	Deep LearningImage Enhancement	—Unverified
Superkernel Neural Architecture Search for Image Denoising	Apr 19, 2020	DenoisingGPU	—Unverified
Underwater image enhancement with Image Colorfulness Measure	Apr 18, 2020	Image Enhancement	—Unverified
On Box-Cox Transformation for Image Normality and Pattern Classification	Apr 15, 2020	ClassificationGeneral Classification	—Unverified
Underwater Image Enhancement Based on Structure-Texture Reconstruction	Apr 11, 2020	Image Enhancement	—Unverified
Harmony-Search and Otsu based System for Coronavirus Disease (COVID-19) Detection using Lung CT Scan Images	Apr 6, 2020	COVID-19 DiagnosisDiagnostic	CodeCode Available

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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