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Multispectral Image Demosaicking Based on Novel Spectrally Localized Average Images

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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,… Click to show full 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.

Keywords: localized average; demosaicking based; image demosaicking; multispectral image; spectrally localized; image

Journal Title: IEEE Signal Processing Letters
Year Published: 2022

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