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Full reference image quality assessment

The goal is to calculate an objective quality score for a given (potentially) distorted image given its reference (potentially) pristine quality image is available. Training-free metrics are listed.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 21–30 of 50 papers

Title	Date	Tasks	Status	Hype
Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment	Apr 19, 2022	Full reference image quality assessmentFull-Reference Image Quality Assessment	—Unverified	0
Locally Adaptive Structure and Texture Similarity for Image Quality Assessment	Oct 16, 2021	Full reference image quality assessmentFull-Reference Image Quality Assessment	—Unverified	0
A survey on IQA	Aug 29, 2021	Deep LearningFull reference image quality assessment	—Unverified	0
Subjective Image Quality Assessment with Boosted Triplet Comparisons	Jul 31, 2021	Full reference image quality assessmentFull-Reference Image Quality Assessment	—Unverified	0
A Shift-insensitive Full Reference Image Quality Assessment Model Based on Quadratic Sum of Gradient Magnitude and LOG signals	Dec 21, 2020	Full reference image quality assessmentFull-Reference Image Quality Assessment	—Unverified	0
Evaluation of quality measures for color quantization	Nov 25, 2020	Full reference image quality assessmentFull-Reference Image Quality Assessment	—Unverified	0
Quality Aware Generative Adversarial Networks	Nov 8, 2019	Full reference image quality assessmentFull-Reference Image Quality Assessment	CodeCode Available	0
A comprehensive evaluation of full-reference image quality assessment algorithms on KADID-10k	Jul 3, 2019	Full reference image quality assessmentFull-Reference Image Quality Assessment	—Unverified	0
Deep Optimization model for Screen Content Image Quality Assessment using Neural Networks	Mar 2, 2019	Full reference image quality assessmentFull-Reference Image Quality Assessment	—Unverified	0
Center Emphasized Visual Saliency and a Contrast-based Full Reference Image Quality Index	Dec 28, 2018	Full reference image quality assessmentFull-Reference Image Quality Assessment	—Unverified	0

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All datasets TID2008 ESPL KADID10K DRIQ

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	MDSI	SRCC	0.92	—	Unverified
2	HaarPSI	SRCC	0.91	—	Unverified
3	IQA Metric	SRCC	0.9	—	Unverified
4	VSI	SRCC	0.9	—	Unverified
5	SR-SIM	SRCC	0.89	—	Unverified
6	GMSD	SRCC	0.89	—	Unverified
7	FSIMc	SRCC	0.88	—	Unverified
8	SFF	SRCC	0.88	—	Unverified
9	IW-SSIM	SRCC	0.86	—	Unverified
10	MS-SSIM	SRCC	0.85	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MDSI	SRCC	0.88	—	Unverified
2	SR-SIM	SRCC	0.88	—	Unverified
3	FSIMc	SRCC	0.88	—	Unverified
4	VSI	SRCC	0.87	—	Unverified
5	MAD	SRCC	0.86	—	Unverified
6	HaarPSI	SRCC	0.85	—	Unverified
7	IW-SSIM	SRCC	0.83	—	Unverified
8	GMSD	SRCC	0.82	—	Unverified
9	SFF	SRCC	0.81	—	Unverified
10	VIF	SRCC	0.75	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MDSI	SRCC	0.89	—	Unverified
2	HaarPSI	SRCC	0.88	—	Unverified
3	VSI	SRCC	0.88	—	Unverified
4	PEL	SRCC	0.88	—	Unverified
5	FSIMc	SRCC	0.85	—	Unverified
6	GMSD	SRCC	0.85	—	Unverified
7	SR-SIM	SRCC	0.84	—	Unverified
8	FSIM	SRCC	0.83	—	Unverified
9	MS-SSIM	SRCC	0.8	—	Unverified
10	VIF	SRCC	0.65	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MDSI	SRCC	0.85	—	Unverified
2	SFF	SRCC	0.83	—	Unverified
3	VSI	SRCC	0.82	—	Unverified
4	VIF	SRCC	0.81	—	Unverified
5	GMSD	SRCC	0.78	—	Unverified
6	FSIMc	SRCC	0.78	—	Unverified
7	SR-SIM	SRCC	0.76	—	Unverified
8	IW-SSIM	SRCC	0.69	—	Unverified
9	MAD	SRCC	0.69	—	Unverified
10	MS-SSIM	SRCC	0.67	—	Unverified