Blind deconvolution of blurred images by use of ICA

Independent Component Analysis is a new data analysis method, and its computation algorithms and applications have been widely studied recently. Most applications, however, are in the field of one-dimensional data analysis, such as sound data analysis, and few applications for two-dimensional data (e.g., image data) have been studied. In this paper, a new application of ICA for two-dimensional data analysis is given, namely, image restoration of blurred images. The proposed method can restore the original image without knowing the blurring process. (C) 2001 Scripta Technica, Electron Comm Jpn Pt 3, 84(12): 1-9, 2001.