Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: A Frequency Domain Approach to Registration of Aliased Images with Application to Super-resolution | Hindawi Publishing Corporation EURASIP Journal on Applied Signal Processing Volume 2006 Article ID 71459 Pages 1-14 DOI ASP 2006 71459 A Frequency Domain Approach to Registration of Aliased Images with Application to Super-resolution Patrick Vandewalle 1 Sabine Susstrunk 1 and Martin Vetterli1 2 1 Ecole Polytechnique Federal de Lausanne School of Computer and Communication Sciences 1015 Lausanne Switzerland 2 Department of Electrical Engineering and Computer Sciences University of California Berkeley CA 94720-1770 USA Received 27 November 2004 Revised 4 May 2005 Accepted 18 May 2005 Super-resolution algorithms reconstruct a high-resolution image from a set of low-resolution images of a scene. Precise alignment of the input images is an essential part of such algorithms. If the low-resolution images are undersampled and have aliasing artifacts the performance of standard registration algorithms decreases. We propose a frequency domain technique to precisely register a set of aliased images based on their low-frequency aliasing-free part. A high-resolution image is then reconstructed using cubic interpolation. Our algorithm is compared to other algorithms in simulations and practical experiments using real aliased images. Both show very good visual results and prove the attractivity of our approach in the case of aliased input images. A possible application is to digital cameras where a set of rapidly acquired images can be used to recover a higher-resolution final image. Copyright 2006 Patrick Vandewalle et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION Image resolutionis one of the limitingparameters in digital camera design. With most digital cameras however it is possible to take bursts of multiple pictures in a very short period of time. Thus high-resolution images can be .
