Multispectral Image Demosaicking Based on Novel Spectrally Localized Average Images

Abstract

In thisletter, we propose a new generic multispectral image demosaicking algorithm using adaptive spectral correlation. Our proposed algorithm defines the spectrally localized average image (SLAI) corresponding to each spectral band, which has a strong spectral correlation with the pixel values of the corresponding spectral band in the raw image captured using a single sensor. The proposed algorithm uses the SLAI to estimate the missing pixel values of the spectral bands. Experimental results reveal that our algorithm outperforms other state-of-the-art generic multispectral image demosaicking algorithms in terms of objective and subjective evaluations.