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Proceedings Paper

Medical image compression using cubic spline interpolation with bit-plane compensation
Author(s): Trieu-Kien Truong; Shi-Huang Chen; Tsung-Ching Lin
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Paper Abstract

In this paper, a modified medical image compression algorithm using cubic spline interpolation (CSI) is presented for telemedicine applications. The CSI is developed in order to subsample image data with minimal distortion and to achieve compression. It has been shown in literatures that the CSI can be combined with the JPEG algorithms to develop a modified JPEG codec, which obtains a higher compression ratio and a better quality of reconstructed image than the standard JPEG. However, this modified JPEG codec will lose some high-frequency components of medical images during compression process. To minimize the drawback arose from loss of these high-frequency components, this paper further makes use of bit-plane compensation to the modified JPEG codec. The bit-plane compensation algorithm used in this paper is modified from JBIG2 standard. Experimental results show that the proposed scheme can increase 20~30% compression ratio of original JPEG medical data compression system with similar visual quality. This system can reduce the loading of telecommunication networks and is quite suitable for low bit-rate telemedicine applications.

Paper Details

Date Published: 21 March 2007
PDF: 7 pages
Proc. SPIE 6516, Medical Imaging 2007: PACS and Imaging Informatics, 65160D (21 March 2007); doi: 10.1117/12.710530
Show Author Affiliations
Trieu-Kien Truong, I-Shou Univ. (Taiwan)
Shi-Huang Chen, Shu-Te Univ. (Taiwan)
Tsung-Ching Lin, I-Shou Univ. (Taiwan)

Published in SPIE Proceedings Vol. 6516:
Medical Imaging 2007: PACS and Imaging Informatics
Steven C. Horii; Katherine P. Andriole, Editor(s)

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