Abstract
This paper presents a new context formation and lossless compression of medical images in which has huge number of pixels and 2-byte pixel depth. We analyze various prediction techniques and compare their performance. The initial prediction is used for the context to update and correct the prediction error. The results show that diagonal edge detection-based prediction does not perform well in medical images and the proposed scheme outperforms JPEG-LS and DMED in terms of compression ratio up to 2.2%.
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References
ISO/IEC JTC1/SC29/WG1, N2412. The JPEG-2000 still image compression standard (September 2001)
Wu, X., Memon, N., Sayood, K.: A context-based, adaptive, lossless /nearly-lossless coding scheme for continuous-tone images. CALIC (1995)
ISO/IEC JTC1/SC29/WG1, FCD. 14495, lossless and near-lossless coding of continuous tone still images. (JPEG-LS) (1997)
Memon, N., Wu, X.: Recent developments in context-based predictive techniques forloss-less image compression. The Computer Journal 40(2/3), 127–135 (1997)
Edirisinghe, E.A., Bedi, S., Grecos, C.: Improvements to JPEG-LS via diagonal edge based prediction. SPIE Visual Commun. and Image Proc. 4671, 604–613 (2002)
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© 2003 Springer-Verlag Berlin Heidelberg
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Hwang, JJ., Cho, SG., Hwang, CG., Lee, JS. (2003). Prediction Error Context-Based Lossless Compression of Medical Images. In: Liu, J., Cheung, Ym., Yin, H. (eds) Intelligent Data Engineering and Automated Learning. IDEAL 2003. Lecture Notes in Computer Science, vol 2690. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45080-1_149
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DOI: https://doi.org/10.1007/978-3-540-45080-1_149
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40550-4
Online ISBN: 978-3-540-45080-1
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