摘要
借助Hadoop平台实现了分形图像压缩编码,并将其应用于云渲染中对渲染后的图像进行压缩并传至用户阶段。采用4台PC机搭建Hadoop平台,并在此基础上进行分形图像压缩编码,实验结果表明,采用4台PC机的Hadoop平台并行压缩时间不到单台PC机压缩时间的30%,证实了该方案的现实有效性。采用分形压缩编码将云渲染后的图像传给用户具有压缩比大、传输时间短、解压缩快等特点,对改善云渲染用户体验具有重要意义。
The fractal image compression is implemented on Hadoop platform and applied to the compress phase of cloud render. Four PCs are used to build the Hadoop platform and fractal image processing is imple- mented in it. Experiment result shows that the compression time in Hadoop of four PCs is less than 30% of the compression time in one PC, which confirms the reality of the solution. Adopting fractal image compression to compress the rendered image and send the compressed fractal code to user has the characteristics of big com- pression ratio, less communication time and quick decoding etc. , which has important significance for impro- ving user experience of cloud render.
出处
《测控技术》
CSCD
北大核心
2014年第4期50-53,共4页
Measurement & Control Technology
基金
西安邮电大学博士科研启动经费资助项目(1101207)
