ICA in Image Processing: A Survey
Source separation is a problem in which signals are mixed together. It is becoming a tedious task to recuperate original components signal from the signal mixture. Blind Source Separation (BSS) is suggested as a key to the problem aiming at finding the linear representation in such a way that the components are statistically (stochastically) independent.
Independent Component Analysis (ICA) is an approach that attained a wider attention and a growing significance in a diverse range of research fields for accomplishing Blind Source Separation. This paper includes preface of ICA, its variants and their list of applications in brief.