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
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;
Conference_Titel :
Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on
Conference_Location :
Lafayette, LA
Print_ISBN :
0-7803-2428-5
DOI :
10.1109/MWSCAS.1994.518972
