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A capturing system with multispectral filter array (MSFA) technology has beenresearched to shorten the capturing time and reduce the cost. In this system,the mosaicked image captured by the MSFA is demosaicked to reconstructmultispectral images (MSIs). We focus on the spectral sensitivity design of aMSFA in this paper and propose a pathology-specific MSFA. The proposed methodoptimizes the MSFA by minimizing the reconstruction error between training dataof a pathological tissue and a demosaicked MSI under a cost function. Firstly,the spectral sensitivities of the filter array are set randomly, and themosaicked image is obtained from the training data and the filter array. Then,a reconstructed image is obtained by Wiener estimation. The spectralsensitivities of the filter array are optimized iteratively by aninterior-point approach to minimize the reconstruction error. We show theeffectiveness of the proposed MSFA by comparing the recovered spectrum and RGBimage with a conventional method.

Optimal Spectral Sensitivity of Multispectral Filter Array for Pathological Images