Video Quality Assessment On Msu Video Quality 1

评估指标

KLCC

SRCC

评测结果

各个模型在此基准测试上的表现结果

模型名称	KLCC	SRCC	Paper Title	Repository
VSI	0.7524	0.9053	VSI: A Visual Saliency-Induced Index for Perceptual Image Quality Assessment	-
PSNR	0.7185	0.8668	-	-
ST-GREED	0.5905	0.7547	ST-GREED: Space-Time Generalized Entropic Differences for Frame Rate Dependent Video Quality Prediction
FovVideoVDP	0.382	0.537	FovVideoVDP: A visible difference predictor for wide field-of-view video
VMAF Y (v062)	0.809	0.942	Toward A Practical Perceptual Video Quality Metric
DVQA	0.6106	0.7810	-	-
VIFp	0.7558	0.9079	Image information and visual quality	-
AHIQ	0.8015	0.937	Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment Network
VMAF Y (v061)	0.809	0.942	Toward A Practical Perceptual Video Quality Metric
HaarPSI	0.7451	0.8982	A Haar Wavelet-Based Perceptual Similarity Index for Image Quality Assessment	-
MDSI	0.7379	0.8971	Mean Deviation Similarity Index: Efficient and Reliable Full-Reference Image Quality Evaluator	-
LPIPS	0.5846	0.7538	The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
AVQT	0.7499	0.8920	-	-
MS-SSIM	0.7625	0.9026	Multiscale structural similarity for image quality assessment
VMAF Y (v063)	0.809	0.942	Toward A Practical Perceptual Video Quality Metric
FR GVSP-UGCVQA (single scale)	0.695	0.864	Deep Learning based Full-reference and No-reference Quality Assessment Models for Compressed UGC Videos
SSIM	0.7615	0.8999	Image quality assessment: from error visibility to structural similarity	-
SR-SIM	0.7472	0.9014	SR-SIM: A fast and high performance IQA index based on spectral residual	-
FSIM	0.7418	0.9000	FSIM: A Feature Similarity Index for Image Quality Assessment	-
VMAF Y (v061_neg)	0.765	0.914	Toward A Practical Perceptual Video Quality Metric

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