Gradient magnitude similarity deviation: A highly efficient perceptual image quality index

IEEE Transactions on Image Processing

Volumn 23, Issue 2, 2014, Pages 684-695

  Xue, Wufeng ^a,b   Zhang, Lei ^b   Mou, Xuanqin ^a   Bovik, Alan C ^c  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^c The University of Texas at Austin   (United States)

Author keywords

full reference; Gradient magnitude similarity; image quality assessment; standard deviation pooling

Indexed keywords

FORECASTING; HIGH SPEED NETWORKS; IMAGE COMPRESSION; IMAGE RECONSTRUCTION; STATISTICS;

COMPUTATIONALLY EFFICIENT; FULL REFERENCES; GRADIENT MAGNITUDE; IMAGE QUALITY ASSESSMENT; IMAGE QUALITY ASSESSMENT (IQA); IMAGE QUALITY PREDICTIONS; PERCEPTUAL IMAGE QUALITY; STANDARD DEVIATION;

IMAGE QUALITY;

EID: 84892606749     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2013.2293423     Document Type: Article

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