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Application of wavelet transform analysis in medical frames compression

Khosrow Maleknejad (School of Mathematics, Iran University of Science and Technology, Tehran, Iran)
Saeed Sohrabi (School of Mathematics, Iran University of Science and Technology, Tehran, Iran)
Yasser Rostami (Department of Mathematics, Faculty of Science, Islamic Azad University, Karaj, Iran)

Kybernetes

ISSN: 0368-492X

Article publication date: 15 February 2008

305

Abstract

Purpose

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The purpose of this paper, with reference to compression of different images' portions with various qualities, is to obtain a high‐compression coefficient.

Design/methodology/approach

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Usually, not all parts of a medical image have equal significance. Also, an image's background can be combined with noise. This method separates a part of the video which is moving from a part that is stationary.

Findings

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This process results in the high‐quality compression of medical frames.

Originality/value

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Separating parts of a frame using 2D and 3D wavelet transform makes a valuable contribution to biocybernetics.

Keywords

Citation

Maleknejad, K., Sohrabi, S. and Rostami, Y. (2008), "Application of wavelet transform analysis in medical frames compression", Kybernetes, Vol. 37 No. 2, pp. 343-351. https://doi.org/10.1108/03684920810851221

Publisher

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Emerald Group Publishing Limited

Copyright © 2008, Emerald Group Publishing Limited

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