4 February 2013 Estimation of reflectance based on properties of selective spectrum with adaptive Wiener estimation
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To accurately represent the colors in a real scene, a multi-channel camera system is necessary. One of the applications of the data acquired with the multi-channel camera system is the spectral reflectance estimation. One of the most widely used methods to estimate the spectral reflectance is the Wiener estimation. While simple and accurate in controlled conditions, the Wiener estimation does not perform as well with real scene data. Therefore, the adaptive Wiener estimation has been proposed to improve the performance of the Wiener estimation. The adaptive Wiener estimation uses a similar training set that was adaptively constructed from the standard training set according to the camera responses. In this paper, a new way of constructing such similar training set using the correlation between each spectral reflectance in the standard training set and the first approximation of the spectral reflectance that was obtained by the Wiener estimation is proposed. The experimental results showed that the proposed method is more accurate than the conventional Wiener estimations.
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Ji-Hoon Yoo, Ji-Hoon Yoo, Wang-Jun Kyung, Wang-Jun Kyung, Ho-Gun Ha, Ho-Gun Ha, Yeong-Ho Ha, Yeong-Ho Ha, } "Estimation of reflectance based on properties of selective spectrum with adaptive Wiener estimation", Proc. SPIE 8652, Color Imaging XVIII: Displaying, Processing, Hardcopy, and Applications, 86520D (4 February 2013); doi: 10.1117/12.2005444; https://doi.org/10.1117/12.2005444

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