Title :
A Wigner-Ville distribution-based image dissimilarity measure
Author :
Iordache, R. ; Beghdadi, A.
Author_Institution :
Signal Process. Lab., Tampere Univ. of Technol., Finland
Abstract :
The aim of this article is to present a new measure of image degradation based on a joint spatial/spatial-frequency representation using the Wigner-Ville distribution. The developed measure is tested on some known image degradations. The obtained results demonstrate the efficiency of the measure in predicting image quality as compared to classical distortion measures such as signal-to-noise ratio
Keywords :
Wigner distribution; image coding; Wigner-Ville distribution; image coding evaluation; image coding optimization; image degradation; image dissimilarity measure; image quality prediction; joint spatial/spatial-frequency representation; signal-to-noise ratio; Degradation; Distortion measurement; Humans; Image analysis; Image coding; Image quality; Signal analysis; Signal processing; Signal to noise ratio; Testing;
Conference_Titel :
Signal Processing and its Applications, Sixth International, Symposium on. 2001
Conference_Location :
Kuala Lumpur
Print_ISBN :
0-7803-6703-0
DOI :
10.1109/ISSPA.2001.950172
