机构地区: 长江大学电子信息学院
出 处: 《计算机工程》 2010年第12期221-223,共3页
摘 要: 在研究非对称逆布局模式表示模型(NAM)的基础上,针对多值图像表示中子模式的数虽优化问题,提出一种基于位平面分解的优化策略,利用位面间的相关性,改变位面内的扫描算法,进一步减少数据冗余,实现更高的压缩率,并进行理论分析和实验验证。结果表明,该优化策略可以大幅减少子模式数量,优化后的子模式个数减少7.1%~27.1%。 On basis of analyzing Non-symmetry Anti-packing pattern representation ModeI(NAM), an optimization ,rrategy based on Bit Plane Decomposition(BPD) is proposed for the optimization problem on the number of sub-patterns in image representation for multi-valued images. The pertinence between bit planes is employed and the scanning algorithm is changed, thus data redundancy is reduced and a bigher compression ratio is achieved which is analyzed theoretically and validated experimentally. Experimental results show the optimization strategy can sharply decrease the number of sub-patterns which is reduced by 7.1% to 27.1% after the optimization.
关 键 词: 模式表示 非对称逆布局模式表示模型 优化策略 位平面分解
领 域: [自动化与计算机技术] [自动化与计算机技术]