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Extension of luminance component based demosaicking algorithm to 4- and 5-band multispectral images

Norbert Hounsou Amadou Sanda Mahama Pierre Gouton 1
1 CORES - Equipe CORES [ImViA - EA7535]
ImViA - Imagerie et Vision Artificielle [Dijon]
Abstract : Multispectral imaging systems are currently expanding with a variety of multispectral demosaicking algorithms. But these algorithms have limitations due to the remarkable presence of artifacts in the reconstructed image. In this paper, we propose a powerful multispectral image demosaicking method that focuses on the G band and luminance component. We've first identified a relevant 4-and 5-band multispectral filter array (MSFA) with the dominant G band and then proposed an algorithm that consistently estimates the missing G values and other missing components using a convolution operator and a weighted bilinear interpolation algorithm based on the luminance component. Using the considered MSFA patterns, we've also demonstrated that our algorithm outperforms existing approaches both visually and quantitatively in terms of the PSNR and SSIM.
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Submitted on : Thursday, March 3, 2022 - 9:03:37 AM
Last modification on : Thursday, March 10, 2022 - 3:33:52 AM


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Norbert Hounsou, Amadou Sanda Mahama, Pierre Gouton. Extension of luminance component based demosaicking algorithm to 4- and 5-band multispectral images. Array - Journal of the International Computer Music Association, International Computer Music Association, 2021, 12, pp.100088. ⟨10.1016/j.array.2021.100088⟩. ⟨hal-03594953⟩



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