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: Research Article Precise Image Registration with Structural Similarity Error Measurement Applied to Superresolution | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 305479 7 pages doi 2009 305479 Research Article Precise Image Registration with Structural Similarity Error Measurement Applied to Superresolution Mahmood Amintoosi Mahmood Fathy and Nasser Mozayani Computer Engineering Department Iran University of Science and Technology Narmak 16846-13114 Tehran Iran Correspondence should be addressed to Mahmood Amintoosi mamintoosi@ Received 11 November 2008 Revised 5 February 2009 Accepted 22 May 2009 Recommended by Lisimachos P. Kondi Precise image registration is a fundamental task in many computer vision algorithms including superresolution methods. The well known Lucas-Kanade LK algorithm is a very popular and efficient method among the various registration techniques. In this paper a modified version of it based on the Structural Similarity SSIM image quality assessment is proposed. The core of the proposed method is contributing the SSIM in the sum of squared difference which minimized by LK algorithm. Mathematical derivation ofthe proposed method is based on the unified framework of Baker et al. 2004 . Experimental results over 1000 runs on synthesized data validate the better performance of the proposed modification of LK-algorithm with respect to the original algorithm in terms of the rate and speed of convergence where the signal-to-noise ratio is low. In addition the result of using the proposed approach in a superresolution application is given. Copyright 2009 Mahmood Amintoosi 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 One of the most critical aspects of many applications in image processing and computer vision including SuperResolution is the accurate estimation of motion also known as image registration. The
