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 861–870 of 983 papers

Title	Date	Tasks	Status
Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data	Apr 18, 2019	Image EnhancementImage Quality Assessment	—Unverified
Fast Underwater Image Enhancement for Improved Visual Perception	Mar 23, 2019	Generative Adversarial NetworkImage Enhancement	CodeCode Available
Stable Backward Diffusion Models that Minimise Convex Energies	Mar 8, 2019	DeblurringImage Enhancement	—Unverified
Image Enhancement Network Trained by Using HDR images	Jan 17, 2019	Image Enhancement	—Unverified
Real-world Underwater Enhancement: Challenges, Benchmarks, and Solutions	Jan 15, 2019	Image Enhancementobject-detection	CodeCode Available
An Underwater Image Enhancement Benchmark Dataset and Beyond	Jan 11, 2019	Image EnhancementUnderwater Image Restoration	CodeCode Available
Image Super-Resolution as a Defense Against Adversarial Attacks	Jan 7, 2019	Adversarial DefenseImage Enhancement	CodeCode Available
Fast Perceptual Image Enhancement	Dec 31, 2018	CPUImage Enhancement	CodeCode Available
Can Image Enhancement be Beneficial to Find Smoke Images in Laparoscopic Surgery?	Dec 27, 2018	General ClassificationImage Enhancement	—Unverified
Color Image Enhancement Method Based on Weighted Image Guided Filtering	Dec 24, 2018	Image 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