Lossless compression of medical images using Hilbert space-filling curves

Jan Yie Liang, Chih Sheng Chen, Chua Huang Huang, Li Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A Hilbert space-filling curve is a curve of 2 n × 2 n two-dimensional space that it visits neighboring points consecutively without crossing itself. The application of Hilbert space-filling curves in image processing is to rearrange image pixels in order to enhance pixel locality. An iterative program of the Hilbert space-filling curve ordering generated from a tensor product formulation is used to rearrange pixels of medical images. We implement four lossless encoding schemes, run-length encoding, LZ77 coding, LZW coding, and Huffman coding, along with the Hilbert space-filling curve ordering. Combination of these encoding schemes are also implemented to study the effectiveness of various compression methods. In addition, differential encoding is employed to medical images to study different format of image representation to the above encoding schemes. In the paper, we report the testing results of compression ratio and performance evaluation. The experiments show that the pre-processing operation of differential encoding followed by the Hilbert space-filling curve ordering and the compression method of LZW coding followed by Huffman coding will give the best compression result.

Original languageEnglish
Title of host publicationWMSCI 2006 - The 10th World Multi-Conference on Systemics, Cybernetics and Informatics, Jointly with the 12th International Conference on Information Systems Analysis and Synthesis, ISAS 2006 - Proc.
Pages156-164
Number of pages9
Volume5
Publication statusPublished - 2006
Event10th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2006, Jointly with the 12th International Conference on Information Systems Analysis and Synthesis, ISAS 2006 - Orlando, FL, United States
Duration: Jul 16 2006Jul 19 2006

Conference

Conference10th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2006, Jointly with the 12th International Conference on Information Systems Analysis and Synthesis, ISAS 2006
CountryUnited States
CityOrlando, FL
Period7/16/067/19/06

Keywords

  • Differential encoding
  • Hilbert space-filling curve
  • Huffman coding
  • LZ77 coding
  • LZW coding
  • Run-Length encoding

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems

Fingerprint Dive into the research topics of 'Lossless compression of medical images using Hilbert space-filling curves'. Together they form a unique fingerprint.

  • Cite this

    Liang, J. Y., Chen, C. S., Huang, C. H., & Liu, L. (2006). Lossless compression of medical images using Hilbert space-filling curves. In WMSCI 2006 - The 10th World Multi-Conference on Systemics, Cybernetics and Informatics, Jointly with the 12th International Conference on Information Systems Analysis and Synthesis, ISAS 2006 - Proc. (Vol. 5, pp. 156-164)