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 911–920 of 983 papers

Title	Date	Tasks	Status
Sky detection and log illumination refinement for PDE-based hazy image contrast enhancement	Dec 28, 2017	Image Enhancement	—Unverified
Deep Burst Denoising	Dec 15, 2017	DenoisingImage Denoising	CodeCode Available
Learned Perceptual Image Enhancement	Dec 7, 2017	Image EnhancementTone Mapping	—Unverified
On the Duality Between Retinex and Image Dehazing	Dec 7, 2017	Image DehazingImage Enhancement	—Unverified
Taming Adversarial Domain Transfer with Structural Constraints for Image Enhancement	Dec 2, 2017	Image Enhancement	—Unverified
Properties on n-dimensional convolution for image deconvolution	Nov 30, 2017	DenoisingGPU	—Unverified
Learning Aggregated Transmission Propagation Networks for Haze Removal and Beyond	Nov 18, 2017	Image DehazingImage Enhancement	—Unverified
MSR-net:Low-light Image Enhancement Using Deep Convolutional Network	Nov 7, 2017	Image EnhancementLow-Light Image Enhancement	—Unverified
A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement	Nov 2, 2017	Image EnhancementLow-Light Image Enhancement	—Unverified
Classification Driven Dynamic Image Enhancement	Oct 20, 2017	ClassificationGeneral Classification	—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