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| 基于卡尔曼滤波的图像复原 | |
| 引用本文： | 王楠,李文成,李岩.基于卡尔曼滤波的图像复原[J].光机电信息,2010,27(2):28-31. |
| 作者姓名： | 王楠 李文成 李岩 |
| 作者单位： | 1. 92941部队96分队,辽宁,葫芦岛,125001 2. 中国科学院,长春光学精密机械与物理研究所,吉林,长春,130033;91245部队43分队,辽宁,葫芦岛,125001 3. 中国科学院,长春光学精密机械与物理研究所,吉林,长春,130033 |
| 摘 要： | 本文研究了基于卡尔曼滤波的图像复原方法。介绍了图像模型的建立以及几种经典卡尔曼滤波图像复原方法，提出了图像模型自适应的复原算法，并进行了仿真研究。在其退化过程只限于假定是被白噪声污染的马尔可夫（Markov）过程的条件下，目前应用卡尔曼滤波进行图像复原结果显示，本方法具有更好的性能。 |
| 关 键 词： | 卡尔曼滤波 图像复原 图像模型 |
Image Restoration Based on Kalman Filtering |
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| WANG Nan,LI Wen-cheng,LI Yan.Image Restoration Based on Kalman Filtering[J].OME Information,2010,27(2):28-31. | |
| Authors: | WANG Nan LI Wen-cheng LI Yan |
| Affiliation: | WANG Nan, LI Wen-cheng, LI Yan (1. Army 92941 Brigade 96, Huludao 125001, China; 2. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China; 3. Army 91245 Brigade 41, Huludao 125001, China) |
| Abstract: | The adaptive image restoration was discussed based on the Kalman filtering and the genetic algorithm （GA）. GA was used to estimate the relationship between pixels from the observed image so as to provide the best system model for the Kalman filter. The experimental results showed that this method had good properties in parameter adaptivity and the quality of the restoration image was improved. |
| Keywords: | Kalman filtering image restoration image model |
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