基于位平面分解的NAM优化策略  

Optimization Strategy for Non-symmetry Anti-packing Pattern Representation Model Based on Bit Plane Decomposition

作　　者：伍鹏[1] 陈传波[2] 郑运平[2] 

机构地区：[1]长江大学电子信息学院,荆州434023 [2]华中科技大学计算机科学与技术学院,武汉430074

出　　处：《计算机工程》2010年第12期221-223,共3页Computer Engineering

基　　金：国家"863"计划基金资助项目(2006AA04Z211)

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 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]