计算机与数字工程2018，Vol.46Issue(2)：348-354,7.DOI:10.3969/j.issn.1672-9722.2018.02.027
一种混合CPU和GPU的图像金字塔数据重采样评估模型
An Evaluation Model of CPU and GPU for Image Pyramid Resampling
摘要
Abstract
In large-scale image visualization applications,an image pyramid based on a quadtree is built to support to read and show images of special scope and resolution quickly.However,when the special resolution is not saved in the multi-resolution pyramid,it is still necessary to obtain the image of the specified resolution by resampling an image from the pyramid.Generally,the resampling process is implemented on CPU or GPU.In this paper,a RECG model is proposed to evaluate the resampling efficiency of images on CPU or GPU,through that a resampling method on CPU or GPU is selected to speed up the resampling process.More-over,a CPU and GPU cache strategy is created to minimize the number of times. Image data is read from the drive. Experiments show that,compared with general image resampling process,the RECG deal with different resolution image quickly by choosing fit-ted sampling method on CPU or GPU.关键词
重采样速度评估/图像金字塔/图像重采样Key words
evaluation on image resample/image pyramid index/image resample分类
信息技术与安全科学引用本文复制引用
郝瑞华,鲁强..一种混合CPU和GPU的图像金字塔数据重采样评估模型[J].计算机与数字工程,2018,46(2):348-354,7.基金项目
国家自然科学基金项目(编号:61402532)资助. （编号:61402532）
