POCS supperresolution image reconstruction using wavelet transform

Research interest in multi-frame supperresolution has risen substantially in recent years and it is expected to have wide applications to medicine. This paper presents a modified projection onto convex sets (POCS) superresolution method based on the wavelet transform. Based on the principle of POCS, an iterative procedure is proposed to extract information hidden in a group of low resolution images to update the corresponding high frequency band of the reference image, thus augmenting the individual low-resolution image to a high resolution image. The simulation results show that the new proposed algorithm is effective in constructing high-resolution medical images.