【摘要】 目的通过对Julia图像块分形压缩字典的分析与分类,实现对分形压缩字典的精简,提高分形压缩效果和减少分形压缩时间.方法基于固定的C在复平面上进行迭代得到Julia集,利用量化表量化得到Julia图像块,将所得Julia图像块数据导入到Excel表中,利用Excel的统计功能进行分析并根据均值、方差等特征值进行分类.结果精简了图像块约13 000块,并通过分类方法使压缩时间减少到原来的1/3.结论通过对参数C的研究可以提高Julia图像块分形压缩字典的质量,减少编解码的时间.更多还原

【Abstract】 As a fractal image coding compression dictionary "Julia images blocks" creates a fixed compression dictionary,the content of which is various.In this paper,firstly,a fractal image compression dictionary is calculated and analyzed.Secondly,classing Julia image blocks is done based on the analysis and statistics,and some duplicated blocks are discarded.Finally,a new image coding compression dictionary is built with the Julia image blocks.Therefore,it can advance the quality of a fractal image coding compression dictionary of "Julia image blocks" by studying the parameter C of the set of Julia.更多还原