Blind Separation of Mixed Images' EASI Algorithm Based on Wavelet Transform
Lei Gao · Video Engineering · 2014
Using the characteristics of independent component analysis(ICA) and the wavelet transform(WT),a new method based on WT to separate the mixed images blindly is proposed.Firstly,this method make the original images sparse decomposition by WT.And then use the variable step-size based on separation degree(SD) EASI algorithm to separate the coefficient matrix of sparse decomposition blindly.Finally,recover the original images according to the separation matrix got above.The simulation results show that the algorithm not only has high separation precision,fast separation speed and high stability,but also can achieve good separation effect even under more mixed images' case.