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: Super-Resolution for Synthetic Zooming Xin Li | Hindawi Publishing Corporation EURASIP Journal on Applied Signal Processing Volume 2006 Article lD58195 Pages 1-12 DOI ASP 2006 58195 Super-Resolution for Synthetic Zooming XinLi Lane Department of Computer Science and Electrical Engineering West Virginia University Morgantown WV26506-6109 USA Received 1 December 2004 Revised 3 March 2005 Accepted 4 March 2005 Optical zooming is an important feature of imaging systems. In this paper we investigate a low-cost signal processing alternative to optical zooming synthetic zooming by super-resolution SR techniques. Synthetic zooming is achieved by registering a sequence of low-resolution LR images acquired at varying focal lengths and reconstructing the SR image at a larger focal length or increased spatial resolution. Under the assumptions of constant scene depth and zooming speed we argue that the motion trajectories of all physical points are related to each other by a unique vanishing point and present a robust technique for estimating its 3D coordinate. Such a line-geometry-based registration is the foundation of SR for synthetic zooming. We address the issue of data inconsistency arising from the varying focal length of optical lens during the zooming process. To overcome the difficulty of data inconsistency we propose a two-stage Delaunay-triangulation-based interpolation for fusing the LR image data. We also present a PDE-based nonlinear deblurring to accommodate the blindness and variation of sensor point spread functions. Simulation results with real-world images have verified the effectiveness of the proposed SR techniques for synthetic zooming. Copyright 2006 Xin Li. 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 resolution is a critical factor affecting the quality of image and video. To increase the spatial resolution
