The Separation of Noisy Mixed Image Based on Wavelet Transform and Independent Component Analysis
Hongyan Li · Journal of Taiyuan University of Technology · 2009
The basic mathematic model and algorithm of independent component analysis was introduced,the application of independent component analysis in separation of noisy mixed images was discussed,and a multiple channel noisy blind signal separation algorithm was proposed,which combines wavelet threshold de-noising and independent component analysis.The algorithm denoises noisy mixed images by wavelet threshold method before independent component analysis.Experimental results show that this method can effectively reduce the effect of noise signal,renew original image,and overcome the limitation that traditional independent component analysis can not solve the additive noisy blind source separation problem.