Research on millimeter-wave image denoising method based on contourlet and compressed sensing

In this paper, we analyze the general properties of passive millimeter-wave (PMMW) imaging system, then the denoising principle of contourlet and compressed sensing is briefly described. With both denoising advantages of contourlet and compressed sensing, a PMMW image denoising algorithm is designed. And, in the process of compressed sensing denoising, a new type of observation matrix, which is called amplitude-matching variable density measurement matrix, is proposed utilizing the priority information of low-pass property of system. Experiments demonstrate that this improvement can eliminate the “scratches” parts which the contourlet denosing produces. PSNR of image is enhanced and subjective visual feeling of millimeter-wave image is obviously improved.