计算机工程与应用2012，Vol.48Issue(9)：181-184,4.DOI:10.3778/j.issn.1002-8331.2012.09.052
一种复合模板迭代的推广卡尔曼图像滤波
Kalman filter of image based on compound templates iteration
摘要
Abstract
There are three major problems in respect of image de-noising: the first is the contradiction between noise depression and detail preservation;the second is the contradiction between the real time request and the algorithm complexity;the third one is the contradiction between the idealized statistical model and the variety of the real noise. As different types of filter templates are adaptable to different noise models and different sizes of filter templates retain varying degrees of detail, the state equation and observation equation are established for different types and sizes of filter templates, and a nonlinear model is approximated a linear model by the use of Extended Kalman Filter(EKF) theory. Image is de-noised depending on observed value of different templates. The simulated result shows that Kalman filter based on template iteration has advantages such as less calculation, more rapid speed and higher quality, especially adaptation to mixed noise compared with other filter algorithms.关键词
噪声抑制/模板迭代/非线性模型/推广卡尔曼滤波Key words
de-noising/ template iteration/ nonlinear model/ Extended Kalman Filter(EKF)分类
信息技术与安全科学引用本文复制引用
陈岩,杨红乔..一种复合模板迭代的推广卡尔曼图像滤波[J].计算机工程与应用,2012,48(9):181-184,4.基金项目
CAST创新基金(No.201108). （No.201108）
