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作 者:张晓敏 王尔馥[1] ZHANG Xiao-Min;WANG Er-Fu(School of Electronic Engineering,Heilongjiang University,Harbin 150080,China)
出 处:《黑龙江大学工程学报》2020年第1期75-81,共7页Journal of Engineering of Heilongjiang University
基 金:国家自然科学基金面上项目(61571181);博士后研究人员落户黑龙江科研启动资助金项目(LBHQ14136)。
摘 要:为了有效解决在信息保密传输过程中由于阵元数目小于源信号数目而产生的混合信号盲源分离问题,提出了一种基于保密传输的单通道特殊情况下的欠定图像盲复原算法。该算法将复杂的图像混叠信号通过变分模态分解算法进行最优化分解,根据分解所得到的模态函数将单通道混合信号变为多维虚拟通道信号,使其变为正定的盲源分离问题,最后利用快速独立分量分析算法实现原图像信息的盲复原,同时也证明了该算法的可行性。In order to effectively solve the problem of blind source separation of mixed signals due to the number of array elements being smaller than the number of source signals in the process of information security transmission.The blind image restoration algorithm is proposed for underdetermined images in a single-channel special case based on secure transmission.The algorithm optimizes the complex image aliasing signal by the variational modal decomposition algorithm,and transforms the single-channel mixed signal into a multi-dimensional virtual channel signal based on the modal function obtained by the decomposition,making it into a blind source separation problem of positive definite,finally using the fast independent component analysis algorithm to achieve the blind restoration of the original image information,and the feasibility of the algorithm is also proved.
关 键 词:图像盲复原 变分模态分解 单通道 快速独立分量分析
分 类 号:TN918.8[电子电信—通信与信息系统]
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