Multispectral Demosaicing Using Intensity in Edge-Sensing and Iterative Difference-Based Methods

Single-sensor multispectral cameras, that sample spectral channels using a multispectral filter array, have recently emerged. They provide a raw image in which each channel is spectrally sampled pixel-wise according to the filter array pattern. A demosaicing procedure is then needed to estimate a multispectral image with full spectral resolution. The usefulness of intensity-based demosaicing has been shown in a previous work. In this paper, we both propose an intensity-based adaptation of the Binary Tree-based Edge-Sensing method for raw images with no dominant spectral band, and a new iterative method that uses the central wavelength distance between spectral bands.