Abstract
In this paper, we propose a parallel-friendly algorithm for k-nearest neighbor based patch match. Based on jump flooding algorithm, an efficient pattern of communication, our algorithm is fully parallelized at patch-level. To improve the performance, we propose and analyze its variants, and implement them with GPU. Compared with state-of-the-art approximate patch match algorithm, the GPU implementation of our algorithm achieves up to 100 times speedup over its CPU implementation, and 5 times faster than the GPU implementation of Barnes’s algorithm, a most recently benchmark algorithm.
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Yu, P., Yang, X., Chen, L. (2012). Parallel-Friendly Patch Match Based on Jump Flooding. In: Zhang, W., Yang, X., Xu, Z., An, P., Liu, Q., Lu, Y. (eds) Advances on Digital Television and Wireless Multimedia Communications. Communications in Computer and Information Science, vol 331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34595-1_3
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DOI: https://doi.org/10.1007/978-3-642-34595-1_3
Publisher Name: Springer, Berlin, Heidelberg
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