Lossless compression for RGB color still images

Masa aki Kobayashi, Mutsuaki Noma, Sei ichiro Hiratsuka, Sei ichiro Kamata

Research output: Contribution to conferencePaper

8 Citations (Scopus)

Abstract

In the present paper, we propose lossless compression for RGB color still images which consist of three planes, though many of the proposed techniques for lossless compression are for gray scale images. In the proposed method, we realize effective coding by modifying the prediction errors obtained from each plane. We use color space correlation in modification of prediction errors. High speed and effective context modeling in entropy coding is also realized using prediction errors of previously coded pixels around the pixel being encoded.

Original languageEnglish
Pages73-77
Number of pages5
Publication statusPublished - 1999 Dec 1
Externally publishedYes
EventInternational Conference on Image Processing (ICIP'99) - Kobe, Jpn
Duration: 1999 Oct 241999 Oct 28

Other

OtherInternational Conference on Image Processing (ICIP'99)
CityKobe, Jpn
Period99/10/2499/10/28

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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  • Cite this

    Kobayashi, M. A., Noma, M., Hiratsuka, S. I., & Kamata, S. I. (1999). Lossless compression for RGB color still images. 73-77. Paper presented at International Conference on Image Processing (ICIP'99), Kobe, Jpn, .