Optimized GPU Framework for Speckle Reduction Using Histogram Matching and Region Growing

摘要：

A GPU framework for ultrasound speckle reductionby region growing based on local statistics extracted from thehistogram shape is presented. The required image processing iscomputationally intensive, involving histogram calculation,region growing, box filtering using different sizes of windows,and more. In this paper, we describe the use of a graphicsprocessing unit for implementing image processing algorithmsfor speckle reduction that achieves a frame rate of 2 8 fps for the512×512 image, about 81 times faster than the CPUimplementation. Testing results from GPU and CPU arecompared in terms of visual image quality and program runtimefrom different image sizes.

作者: Dan Shi Xiaoying Li Dong C.Liu

作者单位: Computer Science College Sichuan University Chengdu, China

会议类型: 国际会议

会议名称: The 4th International Conference on Bioinformatics and Biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-06-18（万方平台首次上网日期，不代表论文的发表时间）