Simulating Images Captured by Superposition Lens Cameras

摘要

As the demand for reduction in the thickness of cameras rises, so too does the interest in thinner lens designs. One such radical approach toward developing a thin lens is obtained from nature's superposition principle as used in the eyes of many insects. But generally the images obtained from those lenses are fuzzy, and require reconstruction algorithms to complete the imaging process. A hurdle to developing such algorithms is that the existing literature does not provide realistic test images, aside from using commercial ray-tracing software which is costly. A solution for that problem is presented in this paper. Here a Gabor Super Lens (GSL), which is based on the superposition principle, is simulated using the public-domain ray-tracing software POV-Ray. The image obtained is of a grating surface as viewed through an actual GSL, which can be used to test reconstruction algorithms. The large computational time in rendering such images requires further optimization, and methods to do so are discussed.