Adaptive quantization in multispectral image compression for equalizing visual error distribution

Yuri Murakami, Hiroyuki Manabe, Takashi Obi, Masahiro Yamaguchi, Nagaaki Ohyama

研究成果: Article査読

4 被引用数 (Scopus)

抄録

This article proposes an adaptive nonlinear quantization method for multispectral image compression. When linear scalar quantization is applied for multispectral image compression, extremely large error is perceived in low-luminance colors due to the nonlinear phenomenon of human vision. In the proposed method, quantization tables are switched pixel by pixel depending on the corresponding luminance. The switching rule is determined according to the relationship between the luminance and the error in the uniform color space. As a result, distribution of the error in the uniform color space can be equalized and the error in the low-luminance pixels is suppressed. Experimental results using a 16-band multispectral image of an oil painting shows the effectiveness of the proposed method.

本文言語English
ページ(範囲)507-512
ページ数6
ジャーナルJournal of Imaging Science and Technology
46
6
出版ステータスPublished - 2002 11 1
外部発表はい

ASJC Scopus subject areas

  • 電子材料、光学材料、および磁性材料
  • 化学 (全般)
  • 原子分子物理学および光学
  • コンピュータ サイエンスの応用

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