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| 2D Fractional Kalman Filter and Its Application to Image Process |
| Zuo Kai Sun Tong-jing Li Zhen-hua Tao Liang |
| School of Control Science and Engineering, Shandong University, Jinan 250061, China |
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Abstract This paper deals with the issue of 2D Fractional Kalman Filter (2DFKF) and its applications to image enhancement and recognition. With the introduction of 2D fractional differential, 2DFKF recursive equation is first presented. Next, a state space model of a image given and, based on this, the 2DFKF algorithm is proposed. Finally, an example is given to demonstrate the effectiveness of proposed algorithm and the simulation result shows that the details of the image are enhanced, while the background noise of the image is efficiently attenuated.
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Received: 11 March 2010
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Corresponding Authors:
Zuo Kai
E-mail: zuokai@tom.com
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2010, Vol. 32 
