Optimal selection of representative colors for spectral reflectance reconstruction in a multispectral imaging system

Hui Liang Shen, Hong Gang Zhang, John Haozhong Xin, Si Jie Shao

Research output: Journal article publicationJournal articleAcademic researchpeer-review

25 Citations (Scopus)


In a multispectral color imaging system, the spectral reflectance of the object being imaged always needs to be accurately reconstructed by employing the training samples on specific color charts. Considering that the workload is heavy when all those color samples are used in practical applications, it is important to select only a limited number of the most representative samples. This is possible as the color charts are usually designed to cover the range of commonly imaged colors, and the color samples are redundant for spectral image reconstruction. We propose an eigenvector-based method and a virtual-imaging-based method for representative color selection by minimizing the total reflectance root-mean-squares errors. The effectiveness of the proposed methods is confirmed by experimental results when compared with existing techniques.
Original languageEnglish
Pages (from-to)2494-2502
Number of pages9
JournalApplied Optics
Issue number13
Publication statusPublished - 1 May 2008

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Engineering (miscellaneous)

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