A lossless video compression method based on adaptive linear predictive coding using spatio-temporal Hilbert scanning

Y. Bando, T. Yokoyama, Seiichiro Kamata

Research output: Contribution to journalArticle

Abstract

In video processing, compression techniques are required to improve the efficiency of transmission and storage of video data. Data compression methods can be classified into two basically different categories: lossy compression methods and lossless compression methods. Lossless compression methods are required for medical image processing and for compressions broadcast materials. We developed a novel video lossless compression method using the Hilbert curve, by mapping the three-dimensional data to one-dimensional data along the curve and then applying adaptive linear prediction coding to the one-dimensional data. Experimental results show that better compression ratio is obtained with our method than with losslessJPEG, although the processing time for both methods is almost equal.

Original languageEnglish
Pages (from-to)447-454
Number of pages8
JournalKyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers
Volume55
Issue number3
Publication statusPublished - 2001 Mar
Externally publishedYes

Fingerprint

Image compression
Medical image processing
Scanning
Data compression
Processing
Compaction

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Electronic, Optical and Magnetic Materials

Cite this

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