Design And Application Of Linear Array Image Acquisition System Based On Compressed Sensing

Compressed sensing theory is a new signal sampling theory. It breakthrough strictly limited Nyquist/Shannon sampling theorem for signal sampling frequency must be greater than twice the signal bandwidth. The theory states that:If the signal has a sparse features, you can take advantage of sparse transform-independent observation matrix high-dimensional signal is projected onto a low-dimensional space, said last optimal solution from a small number of low-dimensional projection valuesprobability reconstruct restore signal. Under the compressed sensing guiding signal sampling process, the sampling frequency bandwidth determination is no longer the signal bandwidth, but depends on the internal structure of the signal and sparse transform space.This thesis is based on compressed sensing linear array image acquisition system. The purpose is to achieve practical application of the theory of linear field of image acquisition. The papers from the study design is easy measurement matrix embedded hardware implementation and completion of the image acquisition system based on compressed sensing linear array design two content starting elaborated.First of all, introduce compression perception theory background and its development. Introduce compressed sensing theory steps and algorithms. A brief introduction to the practical application of compressed sensing, analysis of the theoretical and practical process required to solve the problem.Secondly, introduce the measurement matrix. On the basis of a comprehensive analysis of the pros and cons of each measurement matrix construction process and expressive, the proposed structure is based on orthogonal basis Kronecker product of the measurement matrix. Software simulation and analysis of experimental data, obtained both uncertainty matrix construction time is short and high PSNR value of the reconstructed image of the random matrix orthogonal basis Kronecker product-based measurement matrix. The process of calculation of the amount of the matrix structure is relatively small for embedded hardware implementation, and to ensure that the resulting matrix in the rapid construction of the generator matrix while in the high quality of the reconstructed image.Finally, based on compressed sensing theory design line array image acquisition system.The system is composed by the acquisition part and the the reconstructed part. The acquisition part contains Line Array CMOS image sensor, FPGA processor device. FPGA processor according to a preset compression ratio of the completion of the measurement matrix structure, and then based on this matrix, the image compression is sampled by the sampling value Finally, the sampling values are transmitted to the reconfigurable end, image reconstruction by the reconfigurable terminal.