Compressive Sensing Image Reconstruction With Total Variation And l 2,1 Norm For Microwave Imaging

摘要: Prevention of tumor and cancer can be done by early detection using a scanner such as Computed Tomography (CT) Scan Magnetic Resonance Imaging (MRI). However, those modalities have high production cost considerable size. The alternative used to overcome this problem is microwave imaging. Microwave imaging requires large measurement data improve image quality. To these weaknesses, research process algorithmic reconstruct the images with lower number measurements Compressive Sensing (CS) approach. CS enables reconstructing signal from smaller than which required in conventional sampling method. This contributes adding spatial information total variation (TV) solving optimization Alternating Direction Method Multipliers (ADMM). were analyzed for qualitative quantitative performance. Parameters analysis are MSE SSIM. results show that proposed algorithm successfully implemented reconstruction TV terms quality parameters.