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 661–670 of 983 papers

Title	Date	Tasks	Status
Parametric Scaling of Preprocessing assisted U-net Architecture for Improvised Retinal Vessel Segmentation	Mar 18, 2022	Image EnhancementMedical Image Analysis	—Unverified
Medium Transmission Map Matters for Learning to Restore Real-World Underwater Images	Mar 17, 2022	Image EnhancementImage Restoration	CodeCode Available
Towards More Efficient EfficientDets and Low-Light Real-Time Marine Debris Detection	Mar 14, 2022	GPUImage Enhancement	CodeCode Available
LFW-Beautified: A Dataset of Face Images with Beautification and Augmented Reality Filters	Mar 11, 2022	Face DetectionImage Enhancement	CodeCode Available
Detection of Parasitic Eggs from Microscopy Images and the emergence of a new dataset	Mar 6, 2022	Generative Adversarial NetworkImage Enhancement	—Unverified
The Loop Game: Quality Assessment and Optimization for Low-Light Image Enhancement	Feb 20, 2022	Image EnhancementLow-Light Image Enhancement	—Unverified
A Wavelet-based Dual-stream Network for Underwater Image Enhancement	Feb 17, 2022	Image Enhancement	—Unverified
Learning to Adapt to Light	Feb 16, 2022	Exposure CorrectionImage Enhancement	—Unverified
Low-light Image Enhancement by Retinex Based Algorithm Unrolling and Adjustment	Feb 12, 2022	Deep LearningImage Enhancement	—Unverified
Accurate super-resolution low-field brain MRI	Feb 7, 2022	DiagnosticImage 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