Research on Image Sparse Transform Based On FPGA

Abstract

Compressed sensing (CS) theory breaks through the traditional Nyquist sampling theorem for data acquisition. The study object of CS theory is a sparse representation of signals. Here 2-D image sparse transform was achieved based on discrete cosine orthogonal basis and 2-D image compressed storage was realized based on strong real-time FPGA technology. Furthermore,we introduce the 2D-DCT algorithm based on row-column decomposition structure, and emphatically expound the optimization algorithm of 1-D DCT based on FPGA and illustrate the transpose RAM method between two levels 1-D DCT. By comparing image 2D-DCT transformation Based on FPGA and 2D-DCT calculation result in MATLAB environment, the rationality of the proposed algorithm is verified.