DocumentCode
2749548
Title
Data compression using wavelet transforms and vector quantization
Author
Erdemir, Alper ; Carvalho, Ronald M., Jr. ; Tummala, Murali
Author_Institution
Dept. of Electr. & Comput. Eng., Naval Postgraduate Sch., Monterey, CA, USA
Volume
2
fYear
1994
fDate
3-5 Aug 1994
Firstpage
965
Abstract
In this paper a general purpose compression coding algorithm is described, applicable to both sound and image data. Using recent developments in Discrete Wavelet Transforms (DWT) and Vector Quantization (VQ) the algorithm is compared to Direct Vector Quantization (DVQT) methods. Test results show a 19% to 84% improvement in SNR over DVQT for speech data and a 17% to 50% improvement in SNR for image data
Keywords
image coding; speech coding; transforms; vector quantisation; wavelet transforms; SNR; compression coding algorithm; data compression; discrete wavelet transforms; image data; speech data; vector quantization; wavelet theory; Data compression; Discrete wavelet transforms; Filtering; Filters; Frequency; Image coding; Prototypes; Signal processing algorithms; Speech; Testing; Vector quantization; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on
Conference_Location
Lafayette, LA
Print_ISBN
0-7803-2428-5
Type
conf
DOI
10.1109/MWSCAS.1994.518972
Filename
518972
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