21 March 2007 Medical image compression using cubic spline interpolation with bit-plane compensation
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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.
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Trieu-Kien Truong, Trieu-Kien Truong, Shi-Huang Chen, Shi-Huang Chen, Tsung-Ching Lin, Tsung-Ching Lin, } "Medical image compression using cubic spline interpolation with bit-plane compensation", Proc. SPIE 6516, Medical Imaging 2007: PACS and Imaging Informatics, 65160D (21 March 2007); doi: 10.1117/12.710530; https://doi.org/10.1117/12.710530
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