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Implementation on CUDA of the Smoothing Problem with Tissue-Like P Systems
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Author(s): Francisco Peña-Cantillana (University of Sevilla, Spain), Daniel Díaz-Pernil (University of Sevilla, Spain), Hepzibah A. Christinal (University of Sevilla, Spain & Karunya University, India)and Miguel A. Gutiérrez-Naranjo (University of Sevilla, Spain)
Copyright: 2014
Pages: 10
Source title:
Natural Computing for Simulation and Knowledge Discovery
Source Author(s)/Editor(s): Leandro Nunes de Castro (Mackenzie University, Brazil)
DOI: 10.4018/978-1-4666-4253-9.ch012
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Abstract
Smoothing is often used in Digital Imagery for improving the quality of an image by reducing its level of noise. This paper presents a parallel implementation of an algorithm for smoothing 2D images in the framework of Membrane Computing. The chosen formal framework has been tissue-like P systems. The algorithm has been implemented by using a novel device architecture called CUDA (Compute Unified Device Architecture) which allows the parallel NVIDIA Graphics Processors Units (GPUs) to solve many complex computational problems. Some examples are presented and compared; research lines for the future are also discussed.
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