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

Y. Bando; T. Yokoyama; S. I. Kamata

doi:10.3169/itej.55.447

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

Y. Bando, T. Yokoyama, S. I. Kamata

Graduate School of Information, Production and Systems

Research output: Contribution to journal › Article

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 language	English
Pages (from-to)	447-454
Number of pages	8
Journal	Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers
Volume	55
Issue number	3
DOIs	https://doi.org/10.3169/itej.55.447
Publication status	Published - 2001 Mar

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ASJC Scopus subject areas

Media Technology
Computer Science Applications
Electrical and Electronic Engineering

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Bando, Y., Yokoyama, T., & Kamata, S. I. (2001). A lossless video compression method based on adaptive linear predictive coding using spatio-temporal Hilbert scanning. Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers, 55(3), 447-454. https://doi.org/10.3169/itej.55.447

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10.3169/itej.55.447