文章基本信息

标题：A Pipelined-Based Multi-Thread Acceleration Method for Remote Sensing Image Progressive Transmission
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作者：Haicheng Qu ; Junping Zhang ; Yu Meng 等
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2016
卷号：9
期号：9
页码：123-138
出版社：SERSC
摘要：In order to meet the different data browsing requests for different users to the visual quality of remote sensing images in heterogeneous network especially under narrow bandwidth environments, an online remote sensing image progressive transmission model is constructed in which remote sensing image compression and decompression are synchronized with transmission. At the same time, a pipeline-based multi-threaded acceleration method has been proposed through solving the asynchronous problem between compression decompression and transmission to improve the efficiency of remote sensing progressive transmission. At last, an idea of retry broken downloads transmission interruption has been implemented to improve end-user interactive experience. Experimental results show that the whole processing speed has been improved nearly twice without reducing image transmission quality and the amount of data transmission was reduced evidently by using the proposed progressive transmission and real-time compression model.
关键词：Progressive transmission; Real;-;time processing; Socket p;rotocol; Retry ;broken downloads