Share Email Print

Proceedings Paper

Lossless compression of medical images using Hilbert scan
Author(s): Ziguang Sun; Chungui Li; Hao Liu; Zengfang Zhang
Format Member Price Non-Member Price
PDF $17.00 $21.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The effectiveness of Hilbert scan in lossless medical images compression is discussed. In our methods, after coding of intensities, the pixels in a medical images have been decorrelated with differential pulse code modulation, then the error image has been rearranged using Hilbert scan, finally we implement five coding schemes, such as Huffman coding, RLE, lZW coding, Arithmetic coding, and RLE followed by Huffman coding. The experiments show that the case, which applies DPCM followed by Hilbert scan and then compressed by the Arithmetic coding scheme, has the best compression result, also indicate that Hilbert scan can enhance pixel locality, and increase the compression ratio effectively.

Paper Details

Date Published: 14 November 2007
PDF: 5 pages
Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 67890E (14 November 2007); doi: 10.1117/12.747119
Show Author Affiliations
Ziguang Sun, Guangxi Univ. of Technology (China)
Chungui Li, Guangxi Univ. of Technology (China)
Hao Liu, Guangxi Univ. of Technology (China)
Zengfang Zhang, Guangxi Univ. of Technology (China)

Published in SPIE Proceedings Vol. 6789:
MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques
Jianguo Liu; Kunio Doi; Patrick S. P. Wang; Qiang Li, Editor(s)

© SPIE. Terms of Use
Back to Top