基于可编程GPU的多源图像融合  

Multi-source Image Fusion Based on Programmable GPU

作　　者：李红[1] 吴粉侠[1] 

机构地区：[1]咸阳师范学院信息工程学院,陕西咸阳712000

出　　处：《航空计算技术》2014年第2期11-13,17,共4页Aeronautical Computing Technique

基　　金：国家级创新训练项目资助(201210722028);陕西省教育科学"十二五"规划课题资助(SGH13334);咸阳师范学院科研基金项目资助(11XSYK329)

摘　　要：针对可编程GPU模型,提出了基于CPU-GPU的并行边缘强度加权融合算法,利用CPU和GPU协同工作模式达到图像融合的目的,其中CPU负责串行任务,而GPU负责并行任务。实验结果表明,并行边缘强度加权融合算法得到的融合图像有着较好的视觉效果,信息熵和QAB/F这两个评价指标均高于文中对比算法的相应指标;从运行时间上分析,基于CPU-GPU的融合方法所需要的运行时间远低于基于CPU方法所需要的运行时间,并且图像尺寸越大,加速比越高。Recently,Programmable Graphics Processing Unit（PGPU）has been greatly improved,and it is widely used in various fields .In this paper ,a novel fusion algorithm which is based on weight of edge in-tensity based on PGPU is proposed .The CPU is serial processing ,and GPU is responsible for parallel pro-cessing .The essay researches on selecting GPU memories and dividing blocks and threads of GPU kernel functions.Experiment shows that the proposed algorithm has faster calculation velocity and higher evalua -tion accuracy,and the entropy and QAB/F parameters are superior in performance to algorithms com-pared.Meanwhile,the speed based on CPU-GPU is faster than that of the CPU-based implementation .

关 键 词：图像融合 可编程图形处理器 统一计算设备架构 边缘强度加权 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]