Image Noise Cancellation Using Linear Matrix Inequality and Cellular Neural Network

@inproceedings{Hou2008ImageNC,
  title={Image Noise Cancellation Using Linear Matrix Inequality and Cellular Neural Network},
  author={Cheng-Chih Hou and Cian-Pin Wei and Shih-Chun Huang and Te-Jen Su},
  year={2008}
}
In this paper, the technique of image noise cancellation is presented by employing cellular neural networks (CNN) and linear matrix inequality (LMI). The main objective is to obtain the templates of CNN by using a corrupted image and a corresponding desired image. A criterion for the uniqueness and global asymptotic stability of the equilibrium point of CNN is presented based on the Lyapunov stability theorem (i.e., the feedback template “A” of CNN is solved at this step), and the input… CONTINUE READING

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