Title

A Mixed Transform Approach For Efficient Compression Of Medical Images

Authors

Authors

A. Ramaswamy;W. B. Mikhael

Comments

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Abbreviated Journal Title

IEEE Trans. Med. Imaging

Keywords

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

Abstract

A novel technique is presented to compress medical data employing two or more mutually nonorthogonal transforms, Both lossy and lossless compression implementations are considered, The signal is first resolved into subsignals such that each subsignal is compactly represented in a particular transform domain. An efficient lossy representation of the signal is achieved by superimposing the dominant coefficients corresponding to each subsignal, The residual error, which is the difference between the original signal and the reconstructed signal is properly formulated, Adaptive algorithms in conjunction with an optimization strategy are developed to minimize this error. Both two-dimensional (2-D) and three-dimensional (3-D) approaches for the technique are developed, It is shown that for a given number of retained coefficients, the discrete cosine transform (DCT)-Walsh mixed transform representation yields a more compact representation than using DCT or Walsh alone. This lossy technique is further extended for the lossless case, The coefficients are quantized and the signal is reconstructed, The resulting reconstructed signal samples are rounded to the nearest integer and the modified residual error is computed, This error is transmitted employing a lossless technique such as the Huffman coding, It is shown that for a given number of retained coefficients, the mixed transforms again produces the smaller rms-modified residual error, The first-order entropy of the error is also smaller for the mixed-transforms technique than for the DCT, thus resulting in smaller length Huffman codes.

Journal Title

Ieee Transactions on Medical Imaging

Volume

15

Issue/Number

3

Publication Date

1-1-1996

Document Type

Article

Language

English

First Page

343

Last Page

352

WOS Identifier

WOS:A1996UN48300012

ISSN

0278-0062

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