Fast Implementation of Image Mosaicing on GPU

被引：0
|
作者：
Lu, Yixiang [1 ]
Gao, Qingwei [1 ]
Chen, Shuai [1 ]
Sun, Dong [1 ]
Xia, Yi [1 ]
Peng, Xueming [1 ,2 ]
机构：
[1] Anhui Univ, Sch Elect Engn & Automat, Hefei 230601, Anhui, Peoples R China
[2] Shanghai Huawei Technol Co Ltd, Shanghai 200120, Peoples R China
来源：
2017 10TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI) | 2017年
基金：
中国国家自然科学基金;
关键词：
Image mosaicing; Matching; Parallel; Graphics Processor Unit (GPU);
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
Image mosaicing has been studied and widely used in many fields of computer science, but there exists a huge amount of computations involved in steps of feature matching, warping and blending. And thus it could not meet the real-time demands of some applications. Fortunately, some related parallel operations which can speed up the process of mosaicing have been developed and implemented on the Graphics Processor Unit (GPU). In this paper, we present a parallel implementation of image mosaicing based on GPU using the Compute Unified Device Architecture (CUDA). We obtain better results in terms of execution time than that of implementation on the central processing unit (CPU). When an integrated GPU GTX745 was used in the experiment, we achieved a speedup ratio up to 27.6 times for large input images.
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页数：5
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