Adaptive compression of image data

Sergei Hludov; Claus Schroeter; Christoph Meinel

doi:10.1117/12.321929

16 September 1998 Adaptive compression of image data

Sergei Hludov, Claus Schroeter, Christoph Meinel

Proceedings Volume 3408, Broadband European Networks and Multimedia Services; (1998) https://doi.org/10.1117/12.321929
Event: SYBEN-Broadband European Networks and Electronic Image Capture and Publishing, 1998, Zurich, Switzerland

Abstract

In this paper we will introduce a method of analyzing images, a criterium to differentiate between images, a compression method of medical images in digital form based on the classification of the image bit plane and finally an algorithm for adaptive image compression. The analysis of the image content is based on a valuation of the relative number and absolute values of the wavelet coefficients. A comparison between the original image and the decoded image will be done by a difference criteria calculated by the wavelet coefficients of the original image and the decoded image of the first and second iteration step of the wavelet transformation. This adaptive image compression algorithm is based on a classification of digital images into three classes and followed by the compression of the image by a suitable compression algorithm. Furthermore we will show that applying these classification rules on DICOM-images is a very effective method to do adaptive compression. The image classification algorithm and the image compression algorithms have been implemented in JAVA.

Citation Download Citation

Sergei Hludov, Claus Schroeter, and Christoph Meinel "Adaptive compression of image data", Proc. SPIE 3408, Broadband European Networks and Multimedia Services, (16 September 1998); https://doi.org/10.1117/12.321929

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