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Publications [#330517] of Ingrid Daubechies

Papers Published

  1. 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. 405-408, IEEE, ISBN 0780305329 [doi]
    (last updated on 2019/05/22)

    © 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 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.
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