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Block-based conditional entropy coding for medical image compressionFormat | Member Price | Non-Member Price |
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Paper Abstract
In this paper, we propose a block-based conditional entropy coding
scheme for medical image compression using the 2-D integer Haar
wavelet transform. The main motivation to pursue conditional
entropy coding is that the first-order conditional entropy is
always theoretically lesser than the first and second-order
entropies. We propose a sub-optimal scan order and an optimum
block size to perform conditional entropy coding for various
modalities. We also propose that a similar scheme can be used to
obtain a sub-optimal scan order and an optimum block size for
other wavelets. The proposed approach is motivated by a desire to
perform better than JPEG2000 in terms of compression ratio. We
hint towards developing a block-based conditional entropy coder,
which has the potential to perform better than JPEG2000. Though we
don't indicate a method to achieve the first-order conditional
entropy coder, the use of conditional adaptive arithmetic coder
would achieve arbitrarily close to the theoretical conditional
entropy. All the results in this paper are based on the medical
image data set of various bit-depths and various modalities.
Paper Details
Date Published: 19 May 2003
PDF: 7 pages
Proc. SPIE 5033, Medical Imaging 2003: PACS and Integrated Medical Information Systems: Design and Evaluation, (19 May 2003); doi: 10.1117/12.480466
Published in SPIE Proceedings Vol. 5033:
Medical Imaging 2003: PACS and Integrated Medical Information Systems: Design and Evaluation
H. K. Huang; Osman M. Ratib, Editor(s)
PDF: 7 pages
Proc. SPIE 5033, Medical Imaging 2003: PACS and Integrated Medical Information Systems: Design and Evaluation, (19 May 2003); doi: 10.1117/12.480466
Show Author Affiliations
Sriperumbudur Vangeepuram Bharath Kumar, GE Global Research (India)
Nithin Nagaraj, GE Global Research (India)
Nithin Nagaraj, GE Global Research (India)
Published in SPIE Proceedings Vol. 5033:
Medical Imaging 2003: PACS and Integrated Medical Information Systems: Design and Evaluation
H. K. Huang; Osman M. Ratib, Editor(s)
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