A subspace decomposition method for point source localization in blurred images

In this paper we address the problem of redving blurred point sources in intensity images. A new approach to image restoration is introduced which is a 2-D generalization uf techniques originating from the field of direction of arrival estimation (DOA). I n the 2-D frequency domain. algorithms, such as MUSIC. may be adapted to search for these point sources. A generalization of array smoothing bused on a regularization operator is introduced for 2-11 arrays in order to achieve rank enhanrmient in the signal space of the covariance mutrir.