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

fYear

2014

Firstpage

926

Lastpage

927

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 2014 48th Asilomar Conference on

Print_ISBN

978-1-4799-8295-0

Type

conf

DOI

10.1109/ACSSC.2014.7094588

Filename

7094588

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3587818