Abstract
In this paper, the methods of implementing neighboring filters on newly supplied Graphics Processing Unit (GPU) are described. In general, neighboring filters are always utilized in image processing. Mainly in consideration of memory accesses, four methods implementing neighboring filtering are proposed and compared. The experimental result shows that one of the proposed methods (called “4X-block”) at the block size of 16 is the fastest among them, when loading and processing data in shared memory in GPU. It is also shown that this method is about 1.45X faster than the basic method implemented on GPU.
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Yanagihara, Y., Minamiura, Y. (2012). A Study on a Method of Effective Memory Utilization on GPU Applied for Neighboring Filter on Image Processing. In: Gaol, F., Nguyen, Q. (eds) Proceedings of the 2011 2nd International Congress on Computer Applications and Computational Science. Advances in Intelligent and Soft Computing, vol 145. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28308-6_33
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DOI: https://doi.org/10.1007/978-3-642-28308-6_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28307-9
Online ISBN: 978-3-642-28308-6
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