Image Parallel Processing Based on GPU

摘要：

In order to solve the compute-intensive character of image processing, based on advantages of GPU parallel operation, parallel acceleration processing technique is proposed for image. First, efficient architecture of GPU is introduced that improves computational efficiency, comparing with CPU. Then, Sobel edge detector and homomorphic filtering, two representative image processing algorithms, are embedded into GPU to validate the technique. Finally, tested image data of different resolutions are used on CPU and GPU hardware platform to compare computational efficiency of GPU and CPU. Experimental results indicate tbat if data transfer time, between host memory and device memory, is taken into account, speed of the two algorithms implemented on GPU can be improved approximately 25 times and 49 times as fast as CPU, respectively, and GPU is practical for image processing.

关键词： Image Processing Parallel operation GPU CUDA

作者: Nan Zhang Jian-li Wang Yun-shan Chen

作者单位: Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences Graduate Scho Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences Changchun Chi

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 367-370

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）