Single-sensor multi-spectral image demosaicing algorithm using learned interpolation weights

Multi-spectral images capture more information about a scene as compared to RGB images and have various scientific applications. But the high resolution multi-spectral cameras are very expensive which limits their wide applicability as compared to normal digital RGB cameras. In this paper a multi-spectral filter array design is proposed to capture multiple bands using the single-sensor architecture. The use of single-sensor can help in reducing the cost and size of multi-spectral cameras while simultaneously eliminating the image registration problem. Fast linear demosaicing technique is also proposed to interpolate missing values from under-sampled raw image. Experimental results show the superiority of proposed technique over state of art multi-spectral demosaicing technique.