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

Research output: Contribution to conferencePaper

10 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages68-72
Number of pages5
Publication statusPublished - 2001 Dec 1
Externally publishedYes
EventFinal Program and Proceedings of the 9th IS and T/SID Color Imaging Conference: Color Science, Systems and Applications - Scottsdale, AZ, United States
Duration: 2001 Nov 62001 Nov 9

Conference

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

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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  • Cite this

    Murakami, Y., Manabe, H., Obi, T., Yamaguchi, M., & Ohayama, N. (2001). Multispectral image compression for color reproduction; weighted KLT and adaptive quantization based on visual color perception. 68-72. Paper presented at Final Program and Proceedings of the 9th IS and T/SID Color Imaging Conference: Color Science, Systems and Applications, Scottsdale, AZ, United States.