A new method of extracting region of interest image area with L0 norm

The process of Reference image preparation, is to extract region of interest area from a image, to get a simplified image which be used as template image for other algorithms. Because of the complex of scene, one usually need to excute a set of different algorithms to get a final image which only has the information of interest area. This paper presents a new variational model which used L0 norm for fidelity item, to keep information of interested area better, while removing other redundant information. Experiments show that, this method can remove information of grediant in some special range, to handle a more general case, compared with the original L0 gradient method which can only remove low frequency information. Compared with the same variational model but using L1 or L2 norm, the proposed method can well retain the original information. Those advantages is very important for making the process of reference image preparation faster and easier.