Wavelet transform image coding using trellis coded vector quantization
Conference Paper
A combination of trellis coded quantization (TCQ) and its vector alphabet generalization TCVQ is used to code the coefficients resulting from a biorthogonal wavelet transform in an image. TCVQ is a vector trellis coder with fixed rate, very good rate-distortion performance, and yet reasonable implementation complexity. The experimental results show that the Lena image can be coded by this coding system at the rate of 0.265 bpp to yield a peak signal-to-noise ratio (PSNR) of about 29 dB. This PSNR is about 3 dB larger than that obtained by a coding system of the same rate that uses VQ to obtain the wavelet transform coefficients. Naturally, the performance of the TCQ/TCVQ wavelet transform coder can be improved if entropy-coded TCQ and TCVQ coders are employed.
Full Text
Duke Authors
Cited Authors
- Moayeri, N; Daubechies, I; Song, Q; Wang, HS
Published Date
- January 1, 1992
Published In
Volume / Issue
- 4 /
Start / End Page
- 405 - 408
International Standard Serial Number (ISSN)
- 1520-6149
International Standard Book Number 10 (ISBN-10)
- 0780305329
Digital Object Identifier (DOI)
- 10.1109/ICASSP.1992.226350
Citation Source
- Scopus