tailieunhanh - Báo cáo hóa học: " Research Article A Total Variation Regularization Based Super-Resolution Reconstruction Algorithm for Digital Video"

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 A Total Variation Regularization Based Super-Resolution Reconstruction Algorithm for Digital Video | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 74585 16 pages doi 2007 74585 Research Article A Total Variation Regularization Based Super-Resolution Reconstruction Algorithm for Digital Video Michael K. Ng 1 Huanfeng Shen 1 2 Edmund Y. Lam 3 and Liangpei Zhang2 1 Department of Mathematics Hong Kong Baptist University Kowloon Tong Hong Kong 2 The State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing Wuhan University Wuhan Hubei China 3 Department of Electrical and Electronic Engineering The University of Hong Kong Pokfulam Road Hong Kong Received 13 September 2006 Revised 12 March 2007 Accepted 21 April 2007 Recommended by Russell C. Hardie Super-resolution SR reconstruction technique is capable of producing a high-resolution image from a sequence of low-resolution images. In this paper we study an efficient SR algorithm for digital video. To effectively deal with the intractable problems in SR video reconstruction such as inevitable motion estimation errors noise blurring missing regions and compression artifacts the total variation TV regularization is employed in the reconstruction model. We use the fixed-point iteration method and preconditioning techniques to efficiently solve the associated nonlinear Euler-Lagrange equations of the corresponding variational problem in SR. The proposed algorithm has been tested in several cases of motion and degradation. It is also compared with the Laplacian regularization-based SR algorithm and other TV-based SR algorithms. Experimental results are presented to illustrate the effectiveness of the proposed algorithm. Copyright 2007 Michael K. Ng 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 Solid-state sensors such as CCD or CMOS are widely used