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 251–260 of 983 papers

Title	Date	Tasks	Status	Hype
Perception Consistency Ultrasound Image Super-resolution via Self-supervised CycleGAN	Dec 28, 2020	Generative Adversarial NetworkImage Enhancement	CodeCode Available	1
Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image Enhancement	Dec 10, 2020	Image EnhancementLow-Light Image Enhancement	CodeCode Available	1
Raw Image Deblurring	Dec 8, 2020	Blind Image DeblurringDeblurring	CodeCode Available	1
NICER: Aesthetic Image Enhancement with Humans in the Loop	Dec 3, 2020	Image Enhancement	CodeCode Available	1
Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images	Nov 25, 2020	Image EnhancementSpecificity	CodeCode Available	1
Legacy Photo Editing with Learned Noise Prior	Nov 23, 2020	ColorizationDenoising	CodeCode Available	1
Blind Video Temporal Consistency via Deep Video Prior	Oct 22, 2020	ColorizationImage Dehazing	CodeCode Available	1
Two-stage generative adversarial networks for document image binarization with color noise and background removal	Oct 20, 2020	BinarizationDecoder	CodeCode Available	1
Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time	Sep 30, 2020	4kGPU	CodeCode Available	1
DALE : Dark Region-Aware Low-light Image Enhancement	Aug 28, 2020	Image EnhancementLow-Light Image Enhancement	CodeCode Available	1

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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