Spatial code division multiplexing in optical data processing

The increasing popularity of optical communication has also brought a demand for broader bandwidth. The natural trend was to implement methods from traditional communication on optical fibers. One of the most effective "traditional" methods is code division multiple access (CDMA). In this paper, we suggest the use of this approach for spatial coding applied to images, and for superresolution. In spatial coding, the approach is to multiplex several filters into one plane while keeping their mutual orthogonality. It is shown that within specific restrictions the output of all the filters can be sampled in the original image resolution and fully recovered through an all-optical setup. A theoretical analysis of such a setup is brought as well as experimental demonstrations are presented. Implementation for invariant pattern recognition is suggested. In superresolution, we propose using code division multiplexing in order to transfer a wider range of frequencies. Traditional methods for super resolution have sacrificed field of view for resolution. These methods multiplexed the signal on different carriers. Code division multiplexing for such a usage, has been shown to have superior capabilities, nearing almost Shannon's channel capacity limit. To enable such multiplexing we propose a unique setup that creates an incoherent cosine transform of the image. A theoretical analysis of the setup is brought and later compared with the empirical results.