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 341–350 of 983 papers

Title	Date	Tasks	Status	Hype
Bootstrap Diffusion Model Curve Estimation for High Resolution Low-Light Image Enhancement	Sep 26, 2023	DenoisingImage Enhancement	—Unverified	0
Training Your Image Restoration Network Better with Random Weight Network as Optimization Function	Sep 21, 2023	DenoisingImage Denoising	—Unverified	0
Training Your Image Restoration Network Better with Random Weight Network as Optimization Function	Sep 21, 2023	DenoisingImage Denoising	—Unverified	0
Multimodal Transformers for Wireless Communications: A Case Study in Beam Prediction	Sep 21, 2023	Beam PredictionImage Enhancement	CodeCode Available	1
Multi-image Tranformer for Multi-focus Image Fusion	Sep 20, 2023	Image EnhancementMulti Focus Image Fusion	CodeCode Available	0
Forensic Video Analytic Software	Sep 17, 2023	Activity RecognitionAnomaly Detection	—Unverified	0
AOSR-Net: All-in-One Sandstorm Removal Network	Sep 16, 2023	AllImage Enhancement	—Unverified	0
Dual-Camera Joint Deblurring-Denoising	Sep 16, 2023	DeblurringDenoising	—Unverified	0
Double Domain Guided Real-Time Low-Light Image Enhancement for Ultra-High-Definition Transportation Surveillance	Sep 15, 2023	2k4k	CodeCode Available	1
Improving Deep Learning-based Defect Detection on Window Frames with Image Processing Strategies	Sep 13, 2023	Defect DetectionImage Augmentation	—Unverified	0

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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