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No-Reference Image Quality Assessment

An Image Quality Assessment approach where no reference image information is available to the model. Sometimes referred to as Blind Image Quality Assessment (BIQA).

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 131–140 of 155 papers

Title	Date	Tasks	Status	Hype
Controllable List-wise Ranking for Universal No-reference Image Quality Assessment	Nov 24, 2019	Image Quality AssessmentNo-Reference Image Quality Assessment	CodeCode Available	0
Quality Aware Generative Adversarial Networks	Nov 8, 2019	Full reference image quality assessmentFull-Reference Image Quality Assessment	CodeCode Available	0
Domain Fingerprints for No-reference Image Quality Assessment	Nov 2, 2019	Image Quality AssessmentNo-Reference Image Quality Assessment	—Unverified	0
KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessment	Oct 14, 2019	DiversityImage Quality Assessment	CodeCode Available	1
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network	Jul 5, 2019	image-classificationImage Classification	CodeCode Available	0
Learning to Blindly Assess Image Quality in the Laboratory and Wild	Jul 1, 2019	Image Quality AssessmentLearning-To-Rank	CodeCode Available	1
No-Reference Quality Assessment of Contrast-Distorted Images using Contrast Enhancement	Apr 18, 2019	Image Quality AssessmentNo-Reference Image Quality Assessment	CodeCode Available	0
Robust statistics and no-reference image quality assessment in Curvelet domain	Feb 11, 2019	Image Quality AssessmentNo-Reference Image Quality Assessment	CodeCode Available	0
No reference image quality assessment metric based on regional mutual information among images	Jan 17, 2019	General ClassificationImage Quality Assessment	—Unverified	0
No-Reference Color Image Quality Assessment: From Entropy to Perceptual Quality	Dec 27, 2018	Image Quality AssessmentNo-Reference Image Quality Assessment	CodeCode Available	1

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All datasets KADID-10k CSIQ TID2013 UHD-IQA KonIQ-10k LIVE SPAQ

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	RvTC (image-only)	SRCC	0.98	—	Unverified
2	UNIQA	SRCC	0.94	—	Unverified
3	CONTRIQUE	SRCC	0.93	—	Unverified
4	ARNIQA	SRCC	0.91	—	Unverified
5	Re-IQA	SRCC	0.87	—	Unverified
6	TReS	SRCC	0.86	—	Unverified
7	HyperIQA	SRCC	0.85	—	Unverified
8	DB-CNN	SRCC	0.85	—	Unverified
9	BRISQUE	SRCC	0.53	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UNIQA	SRCC	0.96	—	Unverified
2	ARNIQA	SRCC	0.96	—	Unverified
3	Re-IQA	SRCC	0.95	—	Unverified
4	DB-CNN	SRCC	0.95	—	Unverified
5	CONTRIQUE	SRCC	0.94	—	Unverified
6	HyperIQA	SRCC	0.92	—	Unverified
7	TReS	SRCC	0.92	—	Unverified
8	BRISQUE	SRCC	0.75	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UNIQA	SRCC	0.95	—	Unverified
2	ARNIQA	SRCC	0.88	—	Unverified
3	TReS	SRCC	0.86	—	Unverified
4	CONTRIQUE	SRCC	0.84	—	Unverified
5	HyperIQA	SRCC	0.84	—	Unverified
6	DB-CNN	SRCC	0.82	—	Unverified
7	Re-IQA	SRCC	0.8	—	Unverified
8	BRISQUE	SRCC	0.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LAR-IQA (KAN head)	SRCC	0.84	—	Unverified
2	QualiCLIP	SRCC	0.77	—	Unverified
3	CLIP-IQA+	SRCC	0.75	—	Unverified
4	ARNIQA	SRCC	0.74	—	Unverified
5	CONTRIQUE	SRCC	0.73	—	Unverified
6	Effnet-2C-MLSP	SRCC	0.68	—	Unverified
7	HyperIQA	SRCC	0.55	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RvTC (image-only)	PLCC	0.95	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UNIQA	SRCC	0.99	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RvTC (image-only)	PLCC	0.93	—	Unverified