A REVIEW ON IMAGE REGISTRATION TECHNIQUES FOR BLUR REMOVAL

Abstract

The original method works for unknown blurs, assuming the blurring point-spread function (PSF) exhibits an N-fold rotational symmetry. Here, we also generalize the theory to the case of dihedrally symmetric blurs, which areproduced by the PSFs having both rotational and axial symmetriess. Such kind of blurs is often found in unfocused images acquired by digital cameras, as in out-of-focus shots the PSF typically mimics the shape of the shutter aperture.Whereblurred image registration must be used as a preprocess step of an image fusion algorithm, and where common registration methods fail, due to the amount of blur. We demonstrate that the proposed method leads to an improvement of the registration performance, and we showits applicability to real images by providing successful examples of blurred image registration followed by depth-of-field extension and multichannel blind deconvolution.