Research on Image Denoising Algorithm Based on Compressed Sensing

In order to effectively remove image noise and repair image quality, and better image processing and application, an image denoising and repair method based on compressed sensing theory is proposed. In this method, the compressed sensing theory is used to sparse represent the image signal, the measurement matrix and dictionary are used to process the image, and then the reconstruction algorithm is used to reconstruct the image, so as to eliminate the image noise and repair the image quality. The example shows that this method can effectively remove image noise and the quality of image restoration is considerable.