DocumentCode
261903
Title
A low computational complexity blockiness estimation based on spatial analysis
Author
Perra, Cristian
Author_Institution
Dept. of Electr. & Electron. Eng., Univ. of Cagliari, Cagliari, Italy
fYear
2014
fDate
25-27 Nov. 2014
Firstpage
1130
Lastpage
1133
Abstract
Measuring blockiness distortion in images and video is fundamental in the field of image and video quality assessment. A no-reference method for image blockiness estimation in the spatial domain is presented in this paper. Based on the Sobel operator, a low computational complexity algorithm is proposed for measuring blockiness distortion. Simulation results show that the blockiness estimation obtained by the proposed algorithm is comparable with algorithms demanding higher computational complexity.
Keywords
computational complexity; data compression; edge detection; Sobel operator; blockiness distortion; image blockiness estimation; image quality assessment; low computational complexity algorithm; no-reference method; spatial analysis; spatial domain; video quality assessment; Algorithm design and analysis; Computational complexity; Distortion measurement; Estimation; Image edge detection; Transform coding; Blockiness; Distortion; Image quality; No-reference; Sobel;
fLanguage
English
Publisher
ieee
Conference_Titel
Telecommunications Forum Telfor (TELFOR), 2014 22nd
Conference_Location
Belgrade
Print_ISBN
978-1-4799-6190-0
Type
conf
DOI
10.1109/TELFOR.2014.7034606
Filename
7034606
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