A Linear Interpolation Algorithm for Spectral Filter Array Demosaicking

International audienceLinear interpolation methods have the characteristics of low computational complexity which makes them widely developed in CFA (color filter array) demosaicking. However, the trichromatic nature of colour images enables CFA demosaicking algorithms to take advantage of the luminance-chrominance representation to interpolate the colour planes efficiently and effectively. It seems, however, this does not apply to multispectral images in a straightforward manner. In this paper, we first propose a linear interpolation method for SFA (spectral filter array) demosaicking drawing on the mathematical analysis of mosaicking, demosaicking processes and the idea of residual interpolation. We then compare the performance of the proposed method with that of five other techniques by means of the SSIM index. The result shows that our new algorithm has a good performance with less computing time

Real-time bio-inspired retina simulation software.

The way the retina processes and format visual information contributes, to a large extent, to the efficiency, compaction and reliability of the human visual system, which is of strong interest to artificial vision systems. Based on the transfer function of retinal neurons and their synaptic interaction, our application software computes, in real time, the different outputs of the human retina, from photoreceptors to Magno and Parvo ganglion cells. It is modular and fully configurable so that it can be used in a wide field of applications. A video camera is available to experiment, in live, how the different outputs of the retina reacts to various visual stimulations, and a user interface gives the oportunity to test the effects of retina space and time parameters as well as intensity and contrast local adaptation gain control. Attendees can also bring their own video data to be processed