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Embedded Reversible Medical Image Compression Using Integer Wavelet Transform

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Computational Intelligence (ICIC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4114))

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Abstract

The increasing need for efficient image storage in hospitals imposes heavy requirements on the design of picture archiving and communication systems. Thus new methods are needed to improve the medical image compression performance. In this paper, we propose an efficient coding algorithm called OSS (Optimal Subband Shift) scheme based on the RB-IWT (Reversible Biorthogonal Integer Wavelet Transform). In the new scheme, the original image is first decomposed by the RB-IWT. Then, the image coefficients of every subband are multiplied by the powers of two. Finally, the SPECK coding is applied. Experimental results show that the OSS scheme does not only provide the PSNR performance better than SPECK using the original RB-IWT without the subband shift, but also has the low coding complexity. So this idea is valuable for future research in medical image coding and its applications.

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© 2006 Springer-Verlag Berlin Heidelberg

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Zhang, Lb., Zhou, Mq. (2006). Embedded Reversible Medical Image Compression Using Integer Wavelet Transform. In: Huang, DS., Li, K., Irwin, G.W. (eds) Computational Intelligence. ICIC 2006. Lecture Notes in Computer Science(), vol 4114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37275-2_76

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  • DOI: https://doi.org/10.1007/978-3-540-37275-2_76

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37274-5

  • Online ISBN: 978-3-540-37275-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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