2000
DOI: 10.1364/ao.39.006621
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System design for accurately estimating the spectral reflectance of art paintings

Abstract: Accurately estimating the spectral reflectance of art paintings from low-dimensional multichannel images requires that both image-acquisition hardware with appropriate spectral characteristics and appropriate estimation software be applied to the captured multichannel image. In this study, a system that incorporates both factors is designed and developed on the basis of the minimum-mean-square error criterion. The accuracy of spectral estimation by use of this system is evaluated, and the system's high perform… Show more

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Cited by 191 publications
(150 citation statements)
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“…Recently, multispectral imaging has been widely studied in the reconstruction of the spectral information of the samples being imaged and the recovery of the spectrums of illuminants [1][2][3][4][5][6][7][8][9][10]. In a multispectral imaging system, usually more than three imaging channels are used.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Recently, multispectral imaging has been widely studied in the reconstruction of the spectral information of the samples being imaged and the recovery of the spectrums of illuminants [1][2][3][4][5][6][7][8][9][10]. In a multispectral imaging system, usually more than three imaging channels are used.…”
Section: Introductionmentioning
confidence: 99%
“…In the literature of color imaging, several reflectance reconstruction techniques, such as Wiener estimation [2][3][4][8][9][10], pseudoinverse method [1, 7,11,12], and finite-dimensional modeling [4,11], have been proposed. Among these techniques, Wiener estimation is among the most widely adopted ones, which involves three matrixes, i.e., spectral responsivity, autocorrelation matrix of reflectance, and imaging noise.…”
Section: Introductionmentioning
confidence: 99%
“…2(a) show higher variance in fluorescence background, which will affect the accuracy of reconstructed spectra as shown next. Table 2 shows the cumulative contribution ratio [25] of different PC numbers for spontaneous Raman spectra and SERS spectra. The cumulative contribution ratio refers to the ratio of the sum of eigenvalues corresponding to PCs of interest to the sum of all eigenvalues.…”
Section: Resultsmentioning
confidence: 99%
“…25 and 26). The direct-mapping method has been applied successfully to art imaging 22,27 and to illuminant estimation, 3 but it is unclear whether it remains efficient for radiance or reflectance estimation in conditions where the illumination is uncontrolled. Natural scenes, the subject of the present study, represent a special challenge for spectral-recovery methods.…”
Section: Direct Mapping Of Camera Responses and Spectramentioning
confidence: 99%