【作者】 陈吉夫； 任雪梅； 黄鸿；

【Author】 Chen Jifu,Ren Xuemei,Huang Hong Institute of System Engineering,Beijing Institute of Technology,Beijing 100081,P.R.China

【机构】 北京理工大学系统工程研究所；

【摘要】 针对多值图像的去噪恢复问题,提出一种基于模糊Renyi熵的多值图像去噪滤波器。该方法根据退化多值图像的特点建立一个与其对应的物理模型,并构造一类能反映图像中实际情况的模糊Renyi熵,最后利用最小熵原则进行图像恢复。仿真实验结果表明,基于模糊Renyi熵的去噪滤波器与均值滤波器、中值滤波器相比较,具有良好的图像恢复效果。更多还原

【Abstract】 Aim at the problem of noise-reduction for multi-value images,we propose a method for noise filter of multi-value images based on fuzzy Renyi entropy.The method builds up a relevant physical model according to the characteristics of degenerative multi-value images,and constructs a type of fuzzy entropy which can reflect the actual circumstance of images,and finally carries on the picture instauration using principle of minimum entropy.The experiments conducted on simulator show the superiority of noise-reduction through compared with median filter and average filter.更多还原