对2-D和3-D图像的b样条信号处理操作的顺序和gpu加速实现的比较

2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2012-10-01 DOI:10.1109/IPTA.2012.6469565

A. Karantza, Sonia Lopez-Alarcon, N. Cahill

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引用次数: 2

摘要

b样条信号处理操作广泛应用于二维和三维图像的分析。在本文中，我们通过(1)在MATLAB和c++中基于递归滤波器的实现和(2)在CUDA中gpu加速的实现来研究和比较这些基本操作(直接变换，间接变换和偏导数的计算)。所有的操作都在二维全景图像和三维磁共振(MR)图像的不同分辨率水平上进行比较。结果表明CUDA实现的效率有显著提高。实现各种b样条信号处理任务的MATLAB工具包以及这里描述的c++和CUDA实现目前是公开可用的。

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A comparison of sequential and GPU-accelerated implementations of B-spline signal processing operations for 2-D and 3-D images

B-spline signal processing operations are widely used in the analysis of two and three-dimensional images. In this paper, we investigate and compare some of these basic operations (direct transformations, indirect transformations, and computation of partial derivatives) by (1) recursive filter based implementations in MATLAB and C++, and (2) GPU-accelerated implementations in CUDA. All operations are compared at a variety of resolution levels on a 2-D panoramic image as well as a 3-D magnetic resonance (MR) image. Results indicate significant improvements in efficiency for the CUDA implementations. A MATLAB toolkit implementing the various B-spline signal processing tasks as well as the C++ and CUDA implementation described here is currently publicly available.

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2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA)

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