Differentiation Applied To Lossless Compression Of Medical Images

    Authors

    Y. W. Nijim; S. D. Stearns;W. B. Mikhael

    Comments

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    Abbreviated Journal Title

    IEEE Trans. Med. Imaging

    Keywords

    Computer Science, Interdisciplinary Applications; Engineering, ; Biomedical; Engineering, Electrical & Electronic; Imaging Science &; Photographic Technology; Radiology, Nuclear Medicine & Medical Imaging

    Abstract

    Lossless compression of medical images using a proposed differentiation technique is explored, This scheme is based on computing weighted differences between neighboring pixel values, The performance of the proposed approach, for the lossless compression of magnetic resonance (MR) images and ultrasonic images, is evaluated and compared with the lossless linear predictor and the lossless Joint Photographic Experts Group (JPEG) standard, The residue sequence of these techniques is coded using arithmetic: coding, The proposed scheme yields compression measures, in terms of bits per pixel, that are comparable with or lower than those obtained using the linear predictor and the lossless JPEG standard, respectively, with 8-b medical images, The advantages of the differentiation technique presented here over the linear predictor are: 1) the coefficients of the differentiator are known by the encoder and the decoder, which eliminates the need to compute or encode these coefficients, and 2) the computational complexity is greatly reduced, These advantages are particularly attractive in real time processing for compressing and decompressing medical images.

    Journal Title

    Ieee Transactions on Medical Imaging

    Volume

    15

    Issue/Number

    4

    Publication Date

    1-1-1996

    Document Type

    Article

    Language

    English

    First Page

    555

    Last Page

    559

    WOS Identifier

    WOS:A1996VA94300015

    ISSN

    0278-0062

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