0441247 20240103205743.120150224235959.9 84959541830 000349163300007 10.1109/TIP.2015.2390977 10 s. P cav_un_epca*02532351057-7149243 (2015)1036-1045Institute of Electrical and Electronics Engineers Image registration blurred images N-fold rotational symmetry dihedral symmetry phase correlation cav_un_auth*0293889 Pedone M. IT cav_un_auth*0101087 Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Flusser Jan UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0218131 Heikkila J. FI http://library.utia.cas.cz/separaty/2015/ZOI/flusser-0441247.pdf cav_un_auth*0292734 GA13-29225S GA ČR cav_un_auth*0314467 GA15-16928S GA ČR In this paper, we extend our recent registration method designed specifically for registering blurred images. 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 are produced by the PSFs having both rotational and axial symmetries. Such kind of blurs are 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. This makes our registration algorithm particularly well-suited in applications where blurred 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 show its applicability to real images by providing successful examples of blurred image registration followed by depth-of-field extension and multichannel blind deconvolution. JD 2015 3 4 A hod 4ah 20231122140836.4 RVO:67985556 http://hdl.handle.net/11104/0244682 1 Department of Image Processing UTIA-B 10200 COMPUTER SCIENCE, THEORY & METHODS S ENGINEERING.ELECTRICAL&ELECTRONIC|COMPUTERSCIENCE.ARTIFICIALINTELLIGENCE 4.786 0.352 7.7 0.05133 1.874 20697 2.106 Q1 3.144 449 Q1 95.533 93.3 Q1* Q1* 94.747 2015 Soubory v repozitáři: flusser-0441247.pdf 84959541830 SCOPUS 000349163300007 WOS cav_un_epca*0253235 IEEE Transactions on Image Processing 1057-7149 1941-0042 Roč. 24 č. 3 2015 1036 1045 Institute of Electrical and Electronics Engineers