Compressive Sensing Image Reconstruction of Zero-norm Based on Genetic Algorithm

Currently,there are lots of image reconstruction algorithms are used in literatures such as the least 1-norm,matching pursuit,iterative threshold and so on.While,these methods are suboptimization.The algorithm is proposed in this paper to resolve the multimodal optimization problem of the least 0-norm for compressive sensing image reconstruction.The result shows that the method is feasible.