Weighted Bilinear Interpolation Based Generic Multispectral Image Demosaicking Method


  • Medha Gupta Computer Science and Engineering
  • Mangey Ram Computer Science and Engineering


Multispectral Images, Demosaicking, Interpolation, Weighted Bilinear, Multispectral Filter Array (MSFA).


Multispectral imaging systems acquire images having more than three spectral bands and these images play
crucial role in various applications such as remote sensing, medical imaging, military surveillance, vision
inspection for food quality control, archaeological surveys etc. But the high cost of multispectral imaging
systems limit their usage. Similar to the use of color-filter-array interpolation methods in development of low
cost RGB color cameras, researchers have been exploring the use of multispectral image demosaicking
technologies for developing affordable multispectral imaging systems. In this paper, we present a generic simple
weighted bilinear interpolation based multispectral image demosaicking method. This method is applicable for
any number of spectral bands image, however it critically depends upon the multispectral filter array that needs
to be carefully designed for the weighted bilinear method to be easily applicable. We use two publically
available multispectral image datasets for the performance evaluation of the proposed approach and present
some interesting insights derived from the experimental results


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How to Cite

Gupta, M., & Ram, M. (2023). Weighted Bilinear Interpolation Based Generic Multispectral Image Demosaicking Method. Journal of Graphic Era University, 7(2), 108–118. Retrieved from https://riverpublishersjournal.com/index.php/JGEU/article/view/58