tailieunhanh - Báo cáo hóa học: " Research Article Efficient Recursive Multichannel Blind Image Restoration"

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 Efficient Recursive Multichannel Blind Image Restoration | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 19675 10 pages doi 2007 19675 Research Article Efficient Recursive Multichannel Blind Image Restoration Li Chen Kim-Hui Yap and Yu He Division of Information Engineering School of Electrical and Electronic Engineering Nanyang Technological University 50 Nanyang Avenue Singapore 639798 Received 3 May 2006 Revised 25 August 2006 Accepted 26 August 2006 Recommended by Mark Liao This paper presents a novel multichannel recursive filtering MRF technique to address blind image restoration. The primary motivation for developing the MRF algorithm to solve multichannel restoration is due to its fast convergence in joint blur identification and image restoration. The estimated image is recursively updated from its previous estimates using a regularization framework. The multichannel blurs are identified iteratively using conjugate gradient optimization. The proposed algorithm incorporates a forgetting factor to discard the old unreliable estimates hence achieving better convergence performance. A key feature of the method is its computational simplicity and efficiency. This allows the method to be adopted readily in real-life applications. Experimental results show that it is effective in performing blind multichannel blind restoration. Copyright 2007 Hindawi Publishing Corporation. All rights reserved. 1. INTRODUCTION Image restoration deals with the estimation of the original images from the observed blurred degraded images using the partial information about the imaging system. It is an ill-posed problem as the uniqueness and stability of the solution are not guaranteed 1 . In many applications such as remote sensing and microscopy imaging multiple degraded images of a single scene become available while the blurring function or point spread function PSF of each channel remains unknown. Therefore the recovery of the original scene from its multiple observations .

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