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Use of Behavioral Synthesis to Implement a Cellular Neural Network for Image Processing Applications

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2 Author(s)
Amanatidis, D. ; Dept. of Inf. & Comput. Technol., TEI of Western Macedonia, Kastoria, Greece ; Dossis, M.

In this contribution, behavioral synthesis tools are used for hardware implementation of a cellular neural network with the ability to accomplish image processing tasks in real time. Behavioral synthesis tools such as the CCC HLS framework can deliver correct-by-construction RTL VHDL implementations of computation-intensive applications such as image processing and cellular neural networks. The tool applies formal techniques to transform behavioral ADA specifications into RTL micro-architectures which then can be easily implemented by commercial RTL synthesizers. Example applications such as, edge-detection, half toning and morphological operations, validate the presented contribution.

Published in:

Informatics (PCI), 2011 15th Panhellenic Conference on

Date of Conference:

Sept. 30 2011-Oct. 2 2011