YNAO OpenIR  > 其他
面向ONSET实时数据处理的图像选帧GPU技术实现
Alternative TitleImplementation on Image Frame Selection of GPU for ONSET Real-time Data Processing
李力1; 邓辉1; 李瑧3; 梅盈2; 戴伟1,2; 杨秋萍1,2; 王锋1,2
Source Publication天文研究与技术(Astronomical Research & Technology)
2018-04
Volume15Issue:02Pages:195-201
DOI10.14005/j.cnki.issn1672-7673.20180104.001
ClassificationTp311.1
Contribution Rank第2完成单位
Indexed ByCSCD
Keyword实时选帧 光学和近红外太阳爆发监测望远镜 图形处理器
Abstract

光学和近红外太阳爆发监测望远镜每天可以获得大量的太阳图像数据,对这些观测数据进行实时选帧处理,一方面可以减轻存储压力,另一方面也可以提高后续图像重建的质量。针对实时观测过程中的选帧要求,设计并实现了一套基于图形处理器的图像选帧实时处理模块,当前的模块已经实现了平均梯度法和谱比法选帧两种算法的高速并行处理。对模块的实现进行了细致的讨论,并比较了两种选帧方法的加速比。实验表明,该模块运行稳定可靠;从执行效率来看,针对近全日面图像的选帧总体执行时间最快为1.2s,比原有串行实现提升了7倍;局部面图最快为0.7s,平均提升了5倍。整体模块的实现与当前性能已经可以满足实时观测与处理的要求。

Other Abstract

Optical and Near-infrared Solar Eruption Tracer (ONSET) can get a lot of sun image data every day. By real-time frame selection to these observation data, on the one hand can reduce the storage pressure, extend the observation time, the other hand can also improve the quality of subsequent image reconstruction. In this paper, a set of real-time processing image frame selection module based on GPU is designed and implemented for the frame selection in real-time observation process, and it has achieved high-speed parallel processing of gradient method and spectral ratio method in the module. This paper has discussed the implementation of the module in detail, and compared the speed of the two frame selection methods by experiment. Experimental results have shown that the module is stable and reliable. From the implementation efficiency, the best overall execution time of frame selection for nearly full view image is 1.2 seconds, and that achieve an elevated seven times more than the original serial implementation. For partial view image is 0.7 seconds, and that makes an average increase of five times. Implementation and current performance of the overall module have been able to meet the requirements of real-time observation and processing.

Funding Project国家重点基础研究发展计划(973 计划)[2016YFE0100300] ; 国家自然科学基金[U1231205] ; 国家自然科学基金[U1531132] ; 国家自然科学基金[U1631129] ; 国家自然科学基金[11403009] ; 国家自然科学基金[11463003] ; 云南省自然科学基金[2017FB001]
Funding Organization国家重点基础研究发展计划(973 计划)[2016YFE0100300] ; 国家自然科学基金[U1231205, U1531132, U1631129, 11403009, 11463003] ; 云南省自然科学基金[2017FB001]
Language中文
Subject Area天文学 ; 天文学其他学科 ; 电子、通信与自动控制技术 ; 计算机科学技术
MOST Discipline Catalogue理学 ; 理学::天文学 ; 工学 ; 工学::控制科学与工程 ; 工学::计算机科学与技术(可授工学、理学学位)
ISSN1672-7673
CSCD IDCSCD:6223231
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ynao.ac.cn/handle/114a53/12051
Collection其他
Corresponding Author邓辉
Affiliation1.昆明理工大学云南省计算机技术应用重点实验室,云南,昆明,650500
2.中国科学院云南天文台,云南,昆明,650011
3.南京大学天文与空间科学学院,江苏,南京,210000
Recommended Citation
GB/T 7714
李力,邓辉,李瑧,等. 面向ONSET实时数据处理的图像选帧GPU技术实现[J]. 天文研究与技术(Astronomical Research & Technology),2018,15(02):195-201.
APA 李力.,邓辉.,李瑧.,梅盈.,戴伟.,...&王锋.(2018).面向ONSET实时数据处理的图像选帧GPU技术实现.天文研究与技术(Astronomical Research & Technology),15(02),195-201.
MLA 李力,et al."面向ONSET实时数据处理的图像选帧GPU技术实现".天文研究与技术(Astronomical Research & Technology) 15.02(2018):195-201.
Files in This Item:
File Name/Size DocType Version Access License
面向ONSET实时数据处理的图像选帧GP(867KB)期刊论文出版稿开放获取CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[李力]'s Articles
[邓辉]'s Articles
[李瑧]'s Articles
Baidu academic
Similar articles in Baidu academic
[李力]'s Articles
[邓辉]'s Articles
[李瑧]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[李力]'s Articles
[邓辉]'s Articles
[李瑧]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 面向ONSET实时数据处理的图像选帧GPU技术实现.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.