Abstract
State-of-the-art coders were experimentally examined as useful tools for lossless compression of medical images. Moreover, a binary adaptive coder with simple prediction and pixel-based data serialization was verified as alternative way of image data coding. Reliable and representative set of close to 1000 images was used in realized experiments. Proposed binary adaptive arithmetic coder with prediction called PBAC performed better than CALIC, JPEG-LS, JPEG2000 and any other tested method in a sense of lower total bit rate. The most effective coder for each studied modality of medical images (i.e. CT, MR, US, NM, mammograms and radiograms) was selected.
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Przelaskowski, A. (2006). EXPERIMENTAL COMPARISON OF LOSSLESS IMAGE CODERS FOR MEDICAL APPLICATIONS. In: Wojciechowski, K., Smolka, B., Palus, H., Kozera, R., Skarbek, W., Noakes, L. (eds) Computer Vision and Graphics. Computational Imaging and Vision, vol 32. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4179-9_31
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DOI: https://doi.org/10.1007/1-4020-4179-9_31
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