Abstract
This paper purposes a fast parallel processing method for multi-frame images based on CUDA by Nvidia employing the Sobel edge detection operator as example. To utilize the CUDA’s high parallel computing capability of dense numeric calculation, the paper optimizes the data structure of multi-frame images, combines the multi-frame images into “one image” which reduces the complexity of method. And the experiment result shows that the average running time of the method based on CUDA, which is 499.7 ms, is about 15 % as much as that based on CPU when processing the 64 frames of 512 × 512 pixels images with 8-digit grayscale. The method can utilize the CUDA’s computing capability greatly.
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© 2016 Springer Science+Business Media Singapore
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An, Y., Guo, M., Chai, Y., Liang, H. (2016). The CUDA-Based Multi-frame Images Parallel Fast Processing Method. In: Jia, Y., Du, J., Zhang, W., Li, H. (eds) Proceedings of 2016 Chinese Intelligent Systems Conference. CISC 2016. Lecture Notes in Electrical Engineering, vol 405. Springer, Singapore. https://doi.org/10.1007/978-981-10-2335-4_54
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DOI: https://doi.org/10.1007/978-981-10-2335-4_54
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Online ISBN: 978-981-10-2335-4
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