Title :
Perceptual Sharpness Metric (PSM) for Compressed Video
Author :
Yang, Kai-Chieh ; Guest, Clark C. ; Das, Pankaj
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA
Abstract :
Sharpness, one of the most effective factors in video quality assessment, usually dominates the first impression of the representation of the compressed video or image signals. In this paper, a new sharpness metric is presented. Without the original video sequence, this metric evaluates the level of sharpness of a compressed video sequence based on the presence of high frequency signals components. Also, an attention module and several human visual factors are included in order to make the measurement results more correlated to human perception. Finally, psychovisual experiments show high correlation between the metric prediction and subjective ranking of video sharpness
Keywords :
correlation theory; data compression; feature extraction; image sequences; video coding; visual perception; PSM; compressed video sequence; correlation; high frequency signals component; human visual factor; perceptual sharpness metric; psychovisual experiment; Discrete cosine transforms; Frequency domain analysis; Frequency estimation; Frequency measurement; Humans; Image coding; Image edge detection; Quality assessment; Video compression; Video sequences;
Conference_Titel :
Multimedia and Expo, 2006 IEEE International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
1-4244-0366-7
Electronic_ISBN :
1-4244-0367-7
DOI :
10.1109/ICME.2006.262950