Image Quality Assessment On Msu Fr Vqa

SRCC

Results

Performance results of various models on this benchmark

		Paper Title
AHIQ	0.937	Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment Network
FSIM	0.9000	FSIM: A Feature Similarity Index for Image Quality Assessment
DSS	0.8993	Image quality assessment based on DCT subband similarity
MDSI	0.8971	Mean Deviation Similarity Index: Efficient and Reliable Full-Reference Image Quality Evaluator
MS-GMSD	0.8949	Gradient magnitude similarity deviation on multiple scales for color image quality assessment
GMSD	0.8937	Gradient Magnitude Similarity Deviation: A Highly Efficient Perceptual Image Quality Index

0 of 6 row(s) selected.