Image reconstruction based on iteration under compressed sensing domain

Compressed sensing has been applied in the different field of imaging likewise image reconstruction convolve with fusion method and shows great potential. In order to achieve the better resolution image with good contrast the Modified Frame Reconstruction Iterative thresholding Algorithm (MFR ITA) was developed under the compressed sensing domain by using the total variation algorithm. Based on the MFR ITA we achieve more image useful information and have better performance The proposed method has a higher PNSR values responses and it has shown faster convergence when we perform MFR ITA under the CS domain.