tailieunhanh - Báo cáo hóa học: " Research Article An Adaptively Accelerated Lucy-Richardson Method for Image Deblurring"

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 An Adaptively Accelerated Lucy-Richardson Method for Image Deblurring | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008 Article ID 365021 10 pages doi 2008 365021 Research Article An Adaptively Accelerated Lucy-Richardson Method for Image Deblurring Manoj Kumar Singh 1 Uma Shanker Tiwary 2 and Young-Hoon Kim1 1 Sensor System Laboratory Department of Mechatronics Gwangju Institute of Science and Technology GIST 1 Oryong-dong Buk-gu Gwangju 500 712 South Korea 2 Indian Institute of Information Technology Allahabad IIITA Deoghat Jhalwa Allahabad 211012 India Correspondence should be addressed to Young-Hoon Kim yhkim@ Received 11 June 2007 Accepted 3 December 2007 Recommended by Dimitrios Tzovaras We present an adaptively accelerated Lucy-Richardson AALR method for the restoration of an image from its blurred and noisy version. The conventional Lucy-Richardson LR method is nonlinear and therefore its convergence is very slow. We present a novel method to accelerate the existing LR method by using an exponent on the correction ratio of LR. This exponent is computed adaptively in each iteration using first-order derivatives of the deblurred image from previous two iterations. Upon using this exponent the AALR improves speed at the first stages and ensures stability at later stages of iteration. An expression for the estimation of the acceleration step size in AALR method is derived. The superresolution and noise amplification characteristics of the proposed method are investigated analytically. Our proposed AALR method shows better results in terms of low root mean square error RMSE and higher signal-to-noise ratio SNR in approximately 43 fewer iterations than those required for LR method. Moreover AALR method followed by wavelet-domain denoising yields a better result than the recently published state-of-the-art methods. Copyright 2008 Manoj Kumar Singh et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use