Title :
Perceptual quality metric for compressed video
Author :
Jianxin, Song ; Houjie, Bi
Author_Institution :
Dept. of Inf. Eng., Nanjing Univ. of Posts & Telecommuns., China
Abstract :
In this paper, we propose a method to measure perceptual quality of compressed video with the MPEG kernel algorithm. The measure method is computable and based on HVS, image contents and fuzzy methods. The key of the method is to compute the visibility threshold. The paper analyses the visual properties and the video features, which are related to image quality metric. We design the architecture for measuring perceptual video quality. The elevation factors for visibility threshold are calculated based on fuzzy perceptual PSNR, or PPSNR is proposed for a measure of compressed video
Keywords :
data compression; video coding; HVS; MPEG kernel algorithm; compressed video; elevation factors; fuzzy methods; fuzzy perceptual PSNR; image contents; image quality metric; perceptual quality metric; video features; visibility threshold; visual properties; Distortion measurement; Eyes; Humans; Image coding; Image quality; Telecommunication computing; Testing; Transform coding; Video compression; Visual perception;
Conference_Titel :
Communication Technology Proceedings, 1998. ICCT '98. 1998 International Conference on
Conference_Location :
Beijing
Print_ISBN :
7-80090-827-5
DOI :
10.1109/ICCT.1998.743220
