Using basis vectors of ICA for blind separation of reflection from a single image

When we view a scene through a window or a windshield, usually the image consist of two linear superposition of images, a real image of the scene beyond the window observed through a glass and a virtual image of the scene reflected by the window on it. Decomposing the single input image from reflection is a massively ill-posed problem: in the absence of additional knowledge about the scene being viewed it may cause error in image processing for image analysis. In this paper we describe an algorithm that uses Basis Vectors obtained from ICA method to perform the decomposition, and then using coefficient of basis vectors and preserving the massive coefficients, perform the reconstructing real image. To obtain reflected image we search in image bank and find exactly first original image among the data base. By considering original real image as the second observation, we extract reflected image from the mixed image.