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机构地区:[1]北京交通大学信息科学研究所,北京100044
出 处:《电子学报》2010年第3期658-663,共6页Acta Electronica Sinica
基 金:国家自然科学基金(No.90604032;60602030);教育部新世纪优秀人才支持计划;973项目(No.2006CB303104);北京交通大学十五重点基金
摘 要:本文在基于分形图像编码的多描述编码方案(MDFIC)的基础上,做了两处改进:一是引入提出的基于FGSE的快速分形图像编码算法,以提高编码速度;二是利用相邻值域块均值间的相关性,以减少比特率.实验结果表明,本方案与MDFIC相比,可以在保持解码图像质量几乎不变的情况下,提高编码速度和减少比特率,并具有较高的鲁棒性.Multiple description coding(MDC)has emerged as an attractive framework for robust transmission over unreliable channels and it has recently attracted the interest of many researchers.In order to solve that the parameters of fractal image coding are not suitable to be transmitted over the unreliable channels,the multiple description coding scheme based on fractal image coding(MDFIC)was proposed.The paper improves MDFIC on two aspects,i.e.using the fast fractal image coding algorithm based on FGSE to speed up the coding procedure and the corrections between the means of the closed range blocks to reduce the bit rate.Simulation results show that compared with the traditional scheme,with nearly the same quality of the decoded image,the proposed scheme has higher robustness and can efficiently speed up the encoding process and decrease the bit rate.
关 键 词:分形图像编码 多描述编码 FINE GRANULARITY Successive Elimination(FGSE)
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]
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