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Publications [#287133] of Ingrid Daubechies

Papers Published

  1. Antonini, M; Barlaud, M; Mathieu, P; Daubechies, I, Image coding using vector quantization in the wavelet transform domain, Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, vol. 4 (December, 1990), pp. 2297-2300, IEEE [doi]
    (last updated on 2019/08/21)

    A two-step scheme for image compression that takes into account psychovisual features in space and frequency domains is proposed. A wavelet transform is first used in order to obtain a set of orthonormal subclasses of images; the original image is decomposed at different scales using a pyramidal algorithm architecture. The decomposition is along the vertical and horizontal directions and maintains the number of pixels required to describe the image at a constant. Second, according to Shannon's rate-distortion theory, the wavelet coefficients are vector quantized using a multiresolution codebook. To encode the wavelet coefficients, a noise-shaping bit-allocation procedure which assumes that details at high resolution are less visible to the human eye is proposed. In order to allow the receiver to recognize a picture as quickly as possible at minimum cost, a progressive transmission scheme is presented. The wavelet transform is particularly well adapted to progressive transmission.
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