6533b82bfe1ef96bd128d86b
RESEARCH PRODUCT
Extension of luminance component based demosaicking algorithm to 4- and 5-band multispectral images
Amadou T. Sanda MahamaPierre GoutonNorbert Hounsousubject
Computer engineering. Computer hardwareDemosaicingDemosaicking algorithmComputer scienceMultispectral imageBilinear interpolationQA75.5-76.95General MedicineExtension (predicate logic)Filter (signal processing)Multispectral filter arrayLuminanceConvolutionTK7885-7895G bandElectronic computers. Computer scienceComponent (UML)Weighted bilinear interpolationLuminance componentAlgorithmdescription
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.
year | journal | country | edition | language |
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2021-12-01 | Array |