Color demosaicing is the problem of recovering full color/spectral channel from a subsampled image captured by single-chip digital cameras covered by Color Filter Array (CFA). Several algorithms have been proposed in the literature, however most of them are tuned to a particular arrangement of color filters. In this paper, we propose a generic algorithm based on a simple Neural Network (NN) architecture, which is trained on a small image database and which gives competitive results. To prove our statement, we test our network on several state of art CFAs and a 5 channel Spectral Filter Array (SFA). We demonstrate our result both on simulated images coming from standard image databases and also RAW images for a 5 channel SFA camera.
Prakhar Amba, David Alleysson, Martial Mermillod, "Demosaicing using Dual Layer Feedforward Neural Network" in Proc. IS&T 26th Color and Imaging Conf., 2018, pp 211 - 218, https://doi.org/10.2352/ISSN.2169-2629.2018.26.211