Multispectral image compression for color reproduction; weighted KLT and adaptive quantization based on visual color perception

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

研究成果: Paper査読

10 被引用数 (Scopus)

抄録

An inter-band decorrelation and quantization method of multispectral data are proposed, which are suitable for lossy compression of multispectral images used for high fidelity color reproduction. The proposed inter-band decorrelation method is a modified version of Karhunen-Loeve transform (KLT), called weighted KLT (WKLT), which is designed to minimize the color difference between the color images reconstructed from original and restored multispectral images. For quantization of WKLT coefficients, adaptive quantization (AQ) is introduced in order to equalize the partiality of the perceived error which is caused by the visual nonlinearity between the luminance and the perceived lightness of the color. Through the experiments using 16-band multispectral image of an oil painting, it is confirmed that WKLT followed by AQ reduces the average and the maximum color differences in L*a*b* color space in comparison with the conventional methods composed of KLT and linear quantization.

本文言語English
ページ68-72
ページ数5
出版ステータスPublished - 2001 12 1
外部発表はい
イベントFinal Program and Proceedings of the 9th IS and T/SID Color Imaging Conference: Color Science, Systems and Applications - Scottsdale, AZ, United States
継続期間: 2001 11 62001 11 9

Conference

ConferenceFinal Program and Proceedings of the 9th IS and T/SID Color Imaging Conference: Color Science, Systems and Applications
国/地域United States
CityScottsdale, AZ
Period01/11/601/11/9

ASJC Scopus subject areas

  • コンピュータ ビジョンおよびパターン認識

フィンガープリント

「Multispectral image compression for color reproduction; weighted KLT and adaptive quantization based on visual color perception」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル