PixeMevel Image Fusion Based on Programmable GPU
A novel algorithm which is image fusion based on GPU is proposed.The fused rule is regional energy.In recent years,the power of the computing of GPU has been greatly improved,which results that using it for the general-purpose computing has a rapid development.The essay researches on implementing the oriental field algorithm on GPU,including selecting GPU memories and dividing blocks and threads of GPU kernel functions.The results of experiment on the GPU of NVIDLA GTX560 are given,which shows that our proposed algorithm can be applied to the field of image fusion.Experiment shows the proposed algorithm has faster calculation velocity and higher evaluation accuracy.The speed of the parallel algorithm is 200 times faster than that of the CPU-based implementation.Meanwhile the mutual information and QAB/F parameters are higher than that of the CPU-based algorithm.
image fusion local feature GPU
Li Hong Tang Gao-Feng Wu Fen-Xia Tan Cong-e
School of Information Engineering Xianyang Normal University Shaanxi,China Department of science and technology Xianyang Normal University Shaanxi,China College of Chinese traditional herb Shaanxi university of Chinese medicine Shaanxi,China
国际会议
太原
英文
487-490
2013-04-06（万方平台首次上网日期，不代表论文的发表时间）