Speech and image compressions by DCT, wavelet, and wavelet packet

Author

Chong, Wonyong ; Kim, Jongsoo

Author_Institution

Sch. of Electr. & Electron. Eng., Kyungnam Univ., South Korea

Volume

3

fYear

1997

fDate

9-12 Sep 1997

Firstpage

1353

Abstract

In this paper, the lossy compression methods of speech and image signals by DCT, WT, and WPT are compared for finding the effective compression method. After lossy compression using the threshold criterion, the compressed speech and image signals were reconstructed. The reconstructed signals are measured by SNR and PSNR. The results have showed that for both speech and image signals, WT and WPT have a better performance than DCT. WPT gives the best PSNR among others except for the computational complexity

Keywords

data compression; discrete cosine transforms; image coding; image reconstruction; signal reconstruction; speech coding; transform coding; wavelet transforms; DCT; compressed images; compressed speech; computational complexity; image compressions; lossy compression methods; performance; reconstructed signals; speech compressions; threshold criterion; wavelet; wavelet packet; Discrete cosine transforms; Image coding; Image reconstruction; Image storage; Information retrieval; PSNR; Speech; Video compression; Videoconference; Wavelet packets;

fLanguage

English

Publisher

ieee

Conference_Titel

Information, Communications and Signal Processing, 1997. ICICS., Proceedings of 1997 International Conference on

Print_ISBN

0-7803-3676-3

Type

conf

DOI

10.1109/ICICS.1997.652210

Filename

652210