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 501–510 of 983 papers

Title	Date	Tasks	Status	Hype
Decoupled Cross-Scale Cross-View Interaction for Stereo Image Enhancement in The Dark	Nov 2, 2022	Image Enhancement	—Unverified	0
Multi-Scale Structural-aware Exposure Correction for Endoscopic Imaging	Oct 26, 2022	Exposure CorrectionImage Enhancement	—Unverified	0
Local Color Distributions Prior for Image Enhancement	Oct 25, 2022	Image EnhancementLow-Light Image Enhancement	CodeCode Available	1
Perceptual Image Enhancement for Smartphone Real-Time Applications	Oct 24, 2022	2kHDR Reconstruction	—Unverified	0
Boomerang: Local sampling on image manifolds using diffusion models	Oct 21, 2022	Data AugmentationImage Enhancement	—Unverified	0
Perceptual Multi-Exposure Fusion	Oct 18, 2022	Image EnhancementMulti-Exposure Image Fusion	CodeCode Available	1
Degradation-invariant Enhancement of Fundus Images via Pyramid Constraint Network	Oct 18, 2022	Image Enhancement	CodeCode Available	1
Deformably-Scaled Transposed Convolution	Oct 17, 2022	Image EnhancementInstance Segmentation	—Unverified	0
Retinex Image Enhancement Based on Sequential Decomposition With a Plug-and-Play Framework	Oct 11, 2022	Deep LearningDenoising	—Unverified	0
Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog Removal	Oct 6, 2022	Image DehazingImage 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