Signal compression method for biomedical image using the discrete orthogonal Gauss-Hermite transform

نویسنده

  • P. LAZARIDIS
چکیده

A method is presented for the compression of biomedical images using in place of the discrete cosine transform (DCT) the discrete orthogonal Gauss-Hermite transform (DOGHT). The latter expands the signals on a basis of Gauss-Hermite functions instead of the cosine functions and leads, in many practical cases, to 2-3 times better compression for the same reconstruction error as the DCT. This is achieved because the DOGHT transform of this paper combines the advantages of the DCT transform and the advantages of the transforms, which are based on wavelet expansions. Key-Words: Signal, Compression, Biomedical images, Discrete Orthogonal Gauss-Hermite Transform

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تاریخ انتشار 2006