Research of image progressive transmission based on GPU parallel speedup

doi:10.3778/j.issn.1002-8331.2010.15.055

Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (15): 185-187.DOI: 10.3778/j.issn.1002-8331.2010.15.055

• 图形、图像、模式识别 • Previous Articles Next Articles

Research of image progressive transmission based on GPU parallel speedup

YANG Jing-yu^1，2，LIU Zhao-hua³，ZHANG Yong-sheng¹

1.Institute of Surveying and Mapping，Information Engineering University，Zhengzhou 450052，China
2.Digital Land of Key Lab of Jiangxi Province，Fuzhou，Jiangxi 344000，China
3.Faculty of Architecture and Mapping Engineering，Jiangxi University of Science and Technology，Ganzhou，Jiangxi 341000，China

Received:2008-11-03 Revised:2009-02-26 Online:2010-05-21 Published:2010-05-21
Contact: YANG Jing-yu

遥感图像渐进式传输的GPU并行加速研究

杨靖宇^1，2，刘昭华³，张永生¹

1.信息工程大学测绘学院，郑州 450052
2.江西省数字国土重点实验室，江西抚州 344000
3.江西理工大学建筑与测绘工程学院，江西赣州 341000

通讯作者: 杨靖宇

Abstract

Abstract: Progressive transmission mode of RS image can greatly improve response efficiency of data，and increase computation of data sink.To improve data transmits efficiency，this paper studies the parallel processing speedup method based on GPU，and accelerates image reconstruction by IDWT’s paralleling.To improve transmit efficiency，the texture lookup table and Pbuffer is used.At last，a system examination is made to validate this method.

摘要： 遥感图像的渐进式传输大大提高了数据响应效率，但同时也增加了数据接收端的计算量。为进一步提高数据传输效率，研究了基于可编程图形硬件GPU的并行加速方法，通过小波逆变换的GPU并行化来加速图像重构，并通过纹理查找表来提高数据读取效率，利用离线渲染缓存Pbuffer来保存多层小波变换的中间计算结果，进一步提高了并行效率。最后，通过实验验证了该方法的有效性。

CLC Number:

TP391

YANG Jing-yu^1，2，LIU Zhao-hua³，ZHANG Yong-sheng¹. Research of image progressive transmission based on GPU parallel speedup[J]. Computer Engineering and Applications, 2010, 46(15): 185-187.

杨靖宇^1，2，刘昭华³，张永生¹. 遥感图像渐进式传输的GPU并行加速研究[J]. 计算机工程与应用, 2010, 46(15): 185-187.

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Research of image progressive transmission based on GPU parallel speedup

遥感图像渐进式传输的GPU并行加速研究

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