Title :
Reducing the latency and improving the resolution of vector quantization with anamorphic stretch transform
Author :
Haochen Yuan ; Asghari, Mohammad H. ; Jalali, Bahram
Author_Institution :
Dept. of Electron. Eng., Univ. of California, Los Angeles, Los Angeles, CA, USA
Abstract :
Application of the recently introduced Discrete Anamorphic Stretch Transform to data clustering is proposed and demonstrated. We show that the Transform enhances vector quantization in terms of its computation speed and peak SNR by increasing the image coherence. To validate our technique´s utility in data compression, we show superior performance compared to JPEG 2000.
Keywords :
data compression; discrete transforms; image coding; pattern clustering; vector quantisation; data clustering; data compression; discrete anamorphic stretch transform; image coherence; peak SNR; vector quantization; Decision support systems; Indexes; Data clustering; anamorphic transform; diffractive data compression; dispersive data compression; image compression; k-means clustering; physics based data compression; space-bandwidth engineering; vector quantization; warped stretch transform;
Conference_Titel :
Signals, Systems and Computers, 2014 48th Asilomar Conference on
Print_ISBN :
978-1-4799-8295-0
DOI :
10.1109/ACSSC.2014.7094588
