Compressive Sampling Techniques for Integrating Video Acquisition and Coding

The Shannon/Nyquist sampling theorem specifies that for lossless capture of a signal, one must sample at least two times faster than the largest frequency content of the signal. In many applications, the Nyquist rate is so high that too many samples result, making compression a necessity prior to storage or transmission. But if the signal has a sparse representation in some domain, the novel idea of compressive sampling [9] could be used to exploit the sparsity and thus significantly reduce sampling rate of the signal. In this paper a simulation of an efficient system for integrating video coding/compression with acquisition through compressive sampling is developed in detail. Simulation is implemented for the Y-components of video frames and qualitative comparison is done with traditionally acquired frames.