Multi-scale subfield compressed sensing imaging based on fractal classification

There are two major development trends in digital imaging, which are high resolution and large field of view. Because of these trends, mass data processing and sensor design will be caused by the limitation of conventional sampling method. Therefore, we propose a novel multi-scale subfield imaging method based on compressed sensing and fractal classification in this paper. We could utilize the result of fractal classification to realize the selectable partitioned image recovery. The experiments illustrate the availability and feasibility of this new method.