MAXIMUM ENTROPY RESTORATION METHOD OF LINEARLY DEGRADED BINARY IMAGE

According to the binary nature of image, a new maximum entropy restoration method with binary constraint is proposed The properties of existence and uniqueness of solution are discussed. The problem of maximum of entropy with double constraints is solved and corresponding algorithm is given. Maximum bounded entropy principle is employed concerning the prior knowledge of binary image, the maximum bounded entropy restoration method with binary constraint is put forword. The proposed methods, Wiener filter restoration method and maximum entropy restoration method are compared, it is proved by experiment that maximum entropy restoration method with binary constraint and maximum bounded entropy restoration method with binarv constraint can improve the quality of blur binary image.