Over-determined Blind Image Source Separation Based On Sparse Component Analysis
Zili Zhou · Journal of Qufu Normal University · 2012
In this paper,the problem of over-determined blind image source separation based on sparse component analysis was discussed,and the conditions of linear cluster and over-determined blind source separation were proved.The separation algorithm based on sparse component analysis in wavelet domain was improved by estimating the numbers of sources.Experiment result shows that improved algorithm can extract all the image sources under over-determined conditions,while the sparse component analysis method used directly and the classical FastICA algorithm cannot separate the mixtures perfectly.