Use of Behavioral Synthesis to Implement a Cellular Neural Network for Image Processing Applications
2012 16th Panhellenic Conference on Informatics (2011)
Sept. 30, 2011 to Oct. 2, 2011
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PCI.2011.11
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.
behavioral synthesis, high-level synthesis, ASIC-FPGA design, cellular neural networks, edge detection, halftoning, image morphology
Dimitrios Amanatidis, Michael Dossis, "Use of Behavioral Synthesis to Implement a Cellular Neural Network for Image Processing Applications", 2012 16th Panhellenic Conference on Informatics, vol. 00, no. , pp. 183-187, 2011, doi:10.1109/PCI.2011.11