線性退化二值圖象的最大熵復(fù)原法
MAXIMUM ENTROPY RESTORATION METHOD OF LINEARLY DEGRADED BINARY IMAGE
-
摘要: 本文主要用最大熵方法對線性退化二值圖象的復(fù)原進行了研究。利用原始圖象的二值特性,提出了二值約束的最大熵復(fù)原方法,并對其解的存在性和唯一性進行了論述,對雙約束最大熵的求解問題給出了算法;運用最大有界熵概念,提出了二值約束的最大有界熵復(fù)原法。文中將上述復(fù)原法同維納濾波法和最大熵法進行了比較,實驗結(jié)果表明,用二值約束的最大(有界)熵法復(fù)原線性退化圖象可以提高復(fù)原的質(zhì)量。
-
關(guān)鍵詞:
- 圖象復(fù)原; 二值圖象; 最大熵; 最大有界熵; 最優(yōu)化
Abstract: 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. -
S. F. Surch, et al., Computer Vision, Graphics, and Image Processing 23(1983), 113-128.[2]李大晰,王作英,中國科學(xué)A輯, 9(1985),848-855.[3]B. R. Friden, et al., Maximum bounded entropy: Application to tomographic reconstruction, AD-A160429, April, 1985.[4]B. R. Friden, Computer Vision, Graphics, and Image Processing, 12(1980), 40-59.[5]D. B. Gennery, J. Opt. Soc. Am., 63(1973), 1571-1577.[6]范鳴玉,張瑩,《最優(yōu)化技術(shù)》,清華大學(xué)出版社,1982年.[7]朱文武,退化二直圖象的最大熵復(fù)原法研究,國防科技大學(xué)碩士學(xué)位論文,1988年4月. -
計量
- 文章訪問數(shù): 2132
- HTML全文瀏覽量: 83
- PDF下載量: 546
- 被引次數(shù): 0
下載:
