作　　者： ; ; ;

机构地区： 西安电子科技大学电子工程学院

出　　处： 《西安电子科技大学学报》 2004年第2期214-217,247,共5页

摘　　要： 提出了一种基于模糊熵的多值图像恢复方法.该方法根据熵在应用方面的局限性,对其表示的形式进行了扩展,构造了一类能够反映多值图像特点的模糊熵.仿真结果表明,用模糊熵进行图像恢复的效果明显好于另两种常用的图像恢复方法(中值滤波和均值滤波)得到的结果.另外,在医用图像和军事图像处理方面,多值图像的恢复是非常重要的. A method for multi-level image restoration based on fuzzy entropy is presented. The method can be used to extend the entropy's expression in terms of entropy's limitations on application, and construct a kind of fuzzy entropy that can reflect characteristics of the multi-level image. The simulation results show that the performance of image restoration by using fuzzy entropy is much better than those by using one of two usual image noising-reducing methods, the median filter and the mean filter. In addition, noise-reduction in the multi-level images plays an important role in medical image processing and military image processing. Therefore, this paper contributes to both the theoretical researches on and the applications of fuzzy entropy.

关 键 词： 模糊熵 图像恢复 多值图像 中值滤波 均值滤波

领　　域： [电子电信] [电子电信]