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Proceedings Paper

Near lossless medical image compression using JPEG-LS and cubic spline interpolation
Author(s): Tsung-Ching Lin; Chien-Wen Chen; Shi-Huang Chen; Trieu-Kien Truong
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Paper Abstract

In this paper, a near lossless medical image compression scheme combining JPEG-LS with cubic spline interpolation (CSI) is presented. The CSI is developed to subsample image data with minimal distortion and to achieve image compression. It has been shown in literatures that the CSI can be combined with the transform-based image compression algorithm to develop a modified image compression codec, which obtains a higher compression ratio and a better subjective quality of reconstructed image than the standard transform-based codecs. This paper combines the CSI with lossless JPEG-LS to form the modified JPEG-LS scheme and further makes use of this modified codec to medical image compression. By comparing with the JPEG-LS image compression standard, experimental results show that the compression ratio increased over 3 times for the proposed scheme with similar visual quality. The proposed scheme reduces the loading for storing and transmission of image, therefore it is suitable for low bit-rate telemedicine application. The modified JPEG-LS can reduce the loading of storing and transmitting of medical image.

Paper Details

Date Published: 3 September 2008
PDF: 7 pages
Proc. SPIE 7072, Optics and Photonics for Information Processing II, 70721G (3 September 2008); doi: 10.1117/12.794906
Show Author Affiliations
Tsung-Ching Lin, I-Shou Univ. (Taiwan)
Chien-Wen Chen, I-Shou Univ. (Taiwan)
Shi-Huang Chen, Shu-Te Univ. (Taiwan)
Trieu-Kien Truong, I-Shou Univ. (Taiwan)

Published in SPIE Proceedings Vol. 7072:
Optics and Photonics for Information Processing II
Abdul Ahad Sami Awwal; Khan M. Iftekharuddin; Bahram Javidi, Editor(s)

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