Math @ Duke

Publications [#330517] of Ingrid Daubechies
Papers Published
 Moayeri, N; Daubechies, I; Song, Q; Wang, HS, Wavelet transform image coding using trellis coded vector quantization,
2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp), vol. 4
(January, 1992),
pp. 405408, IEEE, ISBN 0780305329 [doi]
(last updated on 2019/05/22)
Abstract: © 1992 IEEE. 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 ratedistortion 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 signaltonoise 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 entropycoded TCQ and TCVQ coders are employed.


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