2022年 04期

摘要(Abstract)：

为了解决信号与彩图的混合分离问题，提出一种基于典型相关分析的信号与彩图混合分离方法；该方法利用原始彩图与原始信号的自相关性以及典型投影方向之间的正交性，估计原始彩图在红、绿、蓝三原色通道上的原始灰色图像，从而根据信号与彩图的混合方式恢复原始信号；针对双信号双彩图和多信号多彩图2种情况，将所提出的方法与目前最常用的独立成分分析法进行分离混合信号与彩图对比实验。结果表明，所提出的方法不仅可以同时分离信号与彩图，而且所分离出的信号与彩图均具有较高的质量，信号与彩图恢复相似度均提高了近30%。

关键词(KeyWords)：混合分离;信号与彩图;典型相关分析;正交性

基金项目(Foundation):国家自然科学基金项目(11801248);; 山东省自然科学基金项目(ZR2020MA026,ZR2018BF010)

作者(Author): 陈柯鑫,范丽亚

DOI: 10.13349/j.cnki.jdxbn.20220304.001

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