基于加权信息论的矢量图片格式转换模型

Vector Diagram Format Conversion Model Based on Weighted Information Theory

在图像格式转换的过程中,为将不同格式的图元关联起来,借鉴具有统计特征的加权信息论,构造出基于盒维数和自然测度的加权信息熵模型(WEMFBCDNM:Weighted Entropy Model Based on Fractal Box Count-ing Dimension and Natural Measure)。该模型在结构上更加符合矢量图片间格式转换的要求。实验表明,相比于传统算法,WEMFBCDNM在性能上比传统的等长码时间性能提高20%以上。

The primitive in the different formats needs to be associated by the primary key.According Heinz,Hartmut and Dietmars weighted information theory,we use a different way to deal with it.Based on the idea,we construct WEMFBCDNM（Weighted Entropy Model Based on Fractal Box Counting Dimension and Natural Measure）,which is more suitable for the vector diagram format.Comparing with the traditional algorithms,this method has improved its performance to a certain extent.