Improved Compressed Sensing Image Reconstruction Method
In order to improve the accuracy of noise image reconstruction method, an algorithm which is based on compressed sensing theory’s Gradient Projection for Sparse Reconstruction is proposed. The image signals are sparse by introducing the wavelet theory. With the Gaussian random matrix, the images signals are been measured, and then the Gradient Projection for Sparse Reconstruction is used to reconstruct image. Experiment results show that the method improves the image reconstruction accuracy and the image reconstruction quality as much as possible compared with the traditional MALLAT reconstruction algorithm. And research of compressed sensing image reconstruction method can effectively solve the image reconstruction accuracy question.
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