Separation method of noisy mixed images based on wavelet transform and ICA
Tan Letin · 2013
Independent component analysis(ICA)can effectively separate noiseless signal,but can not effectively be applied to noisy signal.To solve this problem,a separation method of noise signal based on denoising-separation-denoising strategy was proposed and was applied to separate noisy mixed images,and a specific separation scheme was given.The presented method firstly employs wavelet transform denoising,and then uses ICA separate denoised image,finally applies wavelet transform denoising again.Simulation experiments show that this method can effectively improve signal-to-noise ratio and correlation coefficient on peak of separation of noisy mixed images.