QQ客服 官方微博 反馈留言

浏览/检索结果: 共1条，第1-1条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Image parallel processing based on GPU (EI CONFERENCE) 会议论文 2010 IEEE International Conference on Advanced Computer Control, ICACC 2010, March 27, 2010 - March 29, 2010, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States Zhang N.; Wang J.-L.; Chen Y.-S. 收藏  |  浏览/下载：21/0  |  提交时间：2013/03/25 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 that 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. 2010 IEEE.