计算机技术与发展2012，Vol.22Issue(7)：99-101,105,4.
一种基于后非线性盲分离的图像解混技术研究
Research on Image Unmixing Technology Based on Post-nonlinear Blind Separation
摘要
Abstract
In this paper,a nonlinear blind source separation algorithm is applied to image unmixing,the algorithm does not require additional information about the source signal,realizes the purpose of me nonlinear mixed image blind separation. Firstly,the model of post-nonlinear mixture is transformed into the model like the instantaneous linear mixture by die differential transformation,which makes the nonlinear problem simplified largely,then it is proofed that the differential of source signals conserves the same statistical characters as the source signals. Secondly,the correlation characters of signals are utilized to construct separation criterion function and iterative equation for bund source separation. Lastly,the numerical computer simulations are performed to illustrate the validity and feasibility of the algorithm. Experiment tests show that the algorithm possesses some good excellences like km computational complexity .rapid convergence, high separation indexes,realizes whole-blind source separation and expands application and effect of the blind source separation algorithm in image unmixing technology.关键词
后非线性/全盲分离/去相关Key words
nonlinear mixture/whole-blind separation/decorrelation分类
信息技术与安全科学引用本文复制引用
刘继承,柏慧,姚建红..一种基于后非线性盲分离的图像解混技术研究[J].计算机技术与发展,2012,22(7):99-101,105,4.基金项目
教育部地方重点资助项目(210056) （210056）
