Reference: S. Hludov, C. Schröter, and C. Meinel. Adaptive Compression of Image Data. In S. Fischer, R. Steinmetz, H. J. Stuettgen, H. R. van As, and R. Vercelli, editors, Broadband European Networks and Multimedia Services (SYBEN'98), volume 3408 of SPIE Proceedings, pages 520–527, Zürich, 1998. Abstract: In this paper we will introduce a method of analyzing images, a critera 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 algortihm for adaptive image compression. The analysis of the image content is based on a validation 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. Suggested BibTeX entry: @inproceedings{HSM98b,     address = {Z{\"u}rich},     author = {S. Hludov and C. Schr{\"o}ter and C. Meinel},     booktitle = {Broadband European Networks and Multimedia Services (SYBEN'98)},     editor = {S. Fischer and R. Steinmetz and H. J. Stuettgen and H. R. van As and R. Vercelli},     pages = {520--527},     series = {SPIE Proceedings},     title = {{Adaptive Compression of Image Data}},     volume = {3408},     year = {1998} }

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