Adaptive compression of DICOM image data

Sergei Hludov; Thomas Engel; Christoph Meinel

doi:10.1117/12.324117

7 September 1998 Adaptive compression of DICOM image data

Sergei Hludov, Thomas Engel, Christoph Meinel

Proceedings Volume 3409, Electronic Imaging: Processing, Printing, and Publishing in Color; (1998) https://doi.org/10.1117/12.324117
Event: SYBEN-Broadband European Networks and Electronic Image Capture and Publishing, 1998, Zurich, Switzerland

Abstract

In this article a method to classify digital images into three categories based on a provisional analysis of the image content and a subsequent compression with the help of a suitable algorithm of compression is proposed. To classify the images two parameters are used. The first parameter carries the frequency information about the image. It represents the mean of the absolute amplitude of the Wavelet coefficients in the high frequency parts of the spectrum. The second parameter is an indicator concerning information about the structure of the image. The second parameter is constituted through the entropy of the length of the segments in one line and the entropy of the length of the segments in one column. In this article the results for the check of those classification rules for DICOM images are given as a confirmation of the effectiveness of the method proposed. The implementation of the image classification algorithm and the compression algorithms in the modeling process is performed in JAVA.

Citation Download Citation

Sergei Hludov, Thomas Engel, and Christoph Meinel "Adaptive compression of DICOM image data", Proc. SPIE 3409, Electronic Imaging: Processing, Printing, and Publishing in Color, (7 September 1998); https://doi.org/10.1117/12.324117

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