快速多维图像处理与OpenCL

Daniel Oliveira Dantas, H. Leal, Davy Oliveira Barros Sousa
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引用次数: 5

摘要

多维图像数据,即具有三维或更多维度的图像,用于许多科学领域。Python和MATLAB支持多维图像处理。VisionGL是一个开源库,它提供了一组图像处理功能,可以通过自动生成代码来帮助程序员。这项工作的目标是通过使用gpu在OpenCL中添加多维图像处理支持来增强VisionGL的高性能。通过窗口和点运算进行基准实验,比较Python、MATLAB和VisionGL在处理1D到5D图像时的性能。结果,获得了高达两个数量级的加速。
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Fast multidimensional image processing with OpenCL
Multidimensional image data, i.e., images with three or more dimensions, are used in many areas of science. Multidimensional image proçessing is supported in Python and MATLAB. VisionGL is an open source library that provides a set of image processing functions and can help the programmer by automatically generating code. The objective of this work is to augment VisionGL by adding multidimensional image processing support with OpenCL for high performance through use of GPUs. Benchmarking experiments were run with window and point operations to compare Python, MATLAB and VisionGL when processing 1D to 5D images. As a result, speedups of up to two orders of magnitude were obtained.
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