Lossless image compression via multi-scanning and adaptive linear prediction

Haijiang Tang, Sei Ichiro Kamata, Kazuyuki Tsuneyoshi, Masa Aki Kobayashi

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

This paper presents an efficient lossless compression approach for gray scale images. The main contributions are 1) we divide the input image to blocks of pixels and use different scanning methods, we select the one that minimizes the prediction error for coding; 2) a new adaptive linear prediction is applied. Experiment results show that our method outperformed JPEG-LS 2∼10% in compression efficiency.

Original languageEnglish
Pages81-84
Number of pages4
Publication statusPublished - 2004 Dec 1
Event2004 IEEE Asia-Pacific Conference on Circuits and Systems, APCCAS 2004: SoC Design for Ubiquitous Information Technology - Tainan, Taiwan, Province of China
Duration: 2004 Dec 62004 Dec 9

Conference

Conference2004 IEEE Asia-Pacific Conference on Circuits and Systems, APCCAS 2004: SoC Design for Ubiquitous Information Technology
CountryTaiwan, Province of China
CityTainan
Period04/12/604/12/9

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • Cite this

    Tang, H., Kamata, S. I., Tsuneyoshi, K., & Kobayashi, M. A. (2004). Lossless image compression via multi-scanning and adaptive linear prediction. 81-84. Paper presented at 2004 IEEE Asia-Pacific Conference on Circuits and Systems, APCCAS 2004: SoC Design for Ubiquitous Information Technology, Tainan, Taiwan, Province of China.