Abstract
2D image warping is a computation-intensive task and plays an important role in many fields. All existing parallel image warping algorithms are only suitable for limited geometric transformations. This paper proposes a distributed parallel image warping algorithm PIWA-LIC, which partitions the valid area of the output image in a balanced way, and each computing node does resampling for one sub output image. To guarantee data locality, a line segment approximation (LSA) method is exploited to get the corresponding input area for each sub output image. For any 2D geometric transformations with one-to-one mapping, PIWA-LIC achieves high performance because of good load balance and data locality.
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Jiang, Yh., Chang, Zm., Yang, Xj. (2004). A Load-Balanced Parallel Algorithm for 2D Image Warping. In: Cao, J., Yang, L.T., Guo, M., Lau, F. (eds) Parallel and Distributed Processing and Applications. ISPA 2004. Lecture Notes in Computer Science, vol 3358. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30566-8_86
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DOI: https://doi.org/10.1007/978-3-540-30566-8_86
Publisher Name: Springer, Berlin, Heidelberg
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