Title :
A low computational complexity blockiness estimation based on spatial analysis
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Cagliari, Cagliari, Italy
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;
Conference_Titel :
Telecommunications Forum Telfor (TELFOR), 2014 22nd
Conference_Location :
Belgrade
Print_ISBN :
978-1-4799-6190-0
DOI :
10.1109/TELFOR.2014.7034606
