摘要
This paper investigates the maximum entropy restoration of blurred binary image.In concerning with the binary property of image,a new maximum entropy restoration methodwith binary constraint is proposed.The properties of existence and uniqueness of solution arediscussed.The problem of maximum of entropy with two constraints is solved and the corre-sponding algorithm is given.In this paper,the maximum bounded entropy principle is employedconcerning the prior knowledge of binary image,and the maximum bounded entropy restora-tion method with binary constraint is put forward.The proposes methods,Wiener filter(WF)restoration method and maximum entropy restoration method are compared.The experimen-tal results show that the maximum entropy restoration method and maximum bounded entropyrestoration method with binary constraint can improve the quality of restored image.
This paper investigates the maximum entropy restoration of blurred binary image. In concerning with the binary property 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 two constraints is solved and the corre- sponding algorithm is given.In this paper,the maximum bounded entropy principle is employed concerning the prior knowledge of binary image,and the maximum bounded entropy restora- tion method with binary constraint is put forward.The proposes methods,Wiener filter(WF) restoration method and maximum entropy restoration method are compared.The experimen- tal results show that the maximum entropy restoration method and maximum bounded entropy restoration method with binary constraint can improve the quality of restored image.
