Regression ICA Algorithm for Image Denoising

In this paper, regression ICA is employed to construct a new algorithm for image denoising. In this algorithm, we first predict the missing observations and then estimate all the independent components based on the previous observations and the predictions. Experiments show that the proposed algorithms are efficient for extracting useful data from multiple high level noise mixed sources.