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 541–550 of 983 papers

Title	Date	Tasks	Status
ERD: Exponential Retinex decomposition based on weak space and hybrid nonconvex regularization and its denoising application	Jul 11, 2024	DenoisingImage Denoising	—Unverified
ERUP-YOLO: Enhancing Object Detection Robustness for Adverse Weather Condition by Unified Image-Adaptive Processing	Nov 5, 2024	Data AugmentationImage Enhancement	—Unverified
Evaluating COPY-BLEND Augmentation for Low Level Vision Tasks	Mar 10, 2021	Data AugmentationDeblurring	—Unverified
Evaluating Deep Neural Networks for Image Document Enhancement	Jun 11, 2021	Deep LearningDocument Enhancement	—Unverified
Exploring Image Enhancement for Salient Object Detection in Low Light Images	Jul 31, 2020	Image EnhancementObject	—Unverified
Exploring Low-light Object Detection Techniques	Jul 30, 2021	Image EnhancementObject	—Unverified
Exposure Normalization and Compensation for Multiple-Exposure Correction	Jan 1, 2022	Exposure CorrectionImage Enhancement	—Unverified
Face Image Lighting Enhancement Using a 3D Model	Jul 2, 2022	3D geometryFace Alignment	—Unverified
Face Image Quality Enhancement Study for Face Recognition	Jul 8, 2023	Face Image QualityFace Recognition	—Unverified
Fast Dust Sand Image Enhancement Based on Color Correction and New Membership Function	Jul 27, 2023	Image EnhancementSand	—Unverified

Show:10 25 50

← PrevPage 55 of 99Next →

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	AdaInt	PSNR on proRGB	25.49	—	Unverified
4	RSFNet-map	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