Resolution Projection Based On Circulant Matrix With Compressive Sensing

The problem of resolution projection based on the approach of compression sensing is developed. For a fast and accurate processing of resolution projection compression sensing based coding is followed. In such approach a sparse based modeling is used for the interpolation of frame samples. wherein sparse provide a higher speed of processing the problem of optimal convergence of these matrix exist. To overcome the limitation of sparse matrix, in this paper a new approach to projection based on circulant matrix is proposed. The usage of such matrix results in the minimization of computation time, retaining processing accuracy. For the evaluation of the proposed approach an enhanced method called I-OMP is considered. The comparative analysis of this approach is found to be more effective by the usage of this circulant matrix resulting in faster and accurate processing.