A hybrid method realizing shock filter by Cellular Neural Network

Shock filter is an important type of the filters in image processing. In recent years, research on shock filters has been an interested topic in signal and image processing. In this paper we propose a method to realize the shock filter by CNN (Cellular Neural Network). The method offers fast process...

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Bibliographic Details
Main Authors: Pham Duc Long, Pham Thuong Cat
Format: Conference Proceeding
Language:English
Subjects:
Cellular neural networks
Convolution
Electric shock
Equations
Image processing
Information technology
Noise reduction
Nonlinear filters
Sensor arrays
Signal processing
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Summary:Shock filter is an important type of the filters in image processing. In recent years, research on shock filters has been an interested topic in signal and image processing. In this paper we propose a method to realize the shock filter by CNN (Cellular Neural Network). The method offers fast processing time in comparison with that on the serial digital computers and can be used in many real-time image processing systems. We focus on development of the shock filter algorithm realizing edge enhancement and de-noising on the Bi-I CNN visual computer. Besides presenting the algorithm, many experiments on Bi-I are given for demonstration.
ISSN:1948-3449
1948-3457
DOI:10.1109/ICCA.2010.5524304