MAP-Based Image Super-resolution Reconstruction

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Reconstruction</title> <meta name="description" content="MAP-Based Image Super-resolution Reconstruction"> <meta name="keywords" content="High-resolution MAP image, Reconstruction, Image interpolation, Motion Estimation, Hermitian positive definite solutions."> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <meta name="citation_title" content="MAP-Based Image Super-resolution Reconstruction"> <meta name="citation_author" content="Xueting Liu"> <meta name="citation_author" content="Daojin Song"> <meta name="citation_author" content="Chuandai Dong"> <meta name="citation_author" content="Hongkui Li"> <meta name="citation_publication_date" content="2008/01/20"> <meta name="citation_journal_title" content="International Journal of Computer and Information Engineering"> <meta name="citation_volume" content="2"> <meta name="citation_issue" content="1"> <meta name="citation_firstpage" 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href="https://publications.waset.org/search?q=Daojin%20Song"> Daojin Song</a>, <a href="https://publications.waset.org/search?q=Chuandai%20Dong"> Chuandai Dong</a>, <a href="https://publications.waset.org/search?q=Hongkui%20Li"> Hongkui Li</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>From a set of shifted, blurred, and decimated image , super-resolution image reconstruction can get a high-resolution image. So it has become an active research branch in the field of image restoration. In general, super-resolution image restoration is an ill-posed problem. Prior knowledge about the image can be combined to make the problem well-posed, which contributes to some regularization methods. In the regularization methods at present, however, regularization parameter was selected by experience in some cases and other techniques have too heavy computation cost for computing the parameter. In this paper, we construct a new super-resolution algorithm by transforming the solving of the System stem <em>袆</em>=<em>An </em>into the solving of the equations X+A*X-1A=I , and propose an inverse iterative method.</p> <iframe src="https://publications.waset.org/2034.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=High-resolution%20MAP%20image" title="High-resolution MAP image">High-resolution MAP image</a>, <a href="https://publications.waset.org/search?q=Reconstruction" title=" Reconstruction"> Reconstruction</a>, <a href="https://publications.waset.org/search?q=Image%20interpolation" title=" Image interpolation"> Image interpolation</a>, <a href="https://publications.waset.org/search?q=Motion%20Estimation" title=" Motion Estimation"> Motion Estimation</a>, <a href="https://publications.waset.org/search?q=Hermitian%20positive%20definite%20solutions." title=" Hermitian positive definite solutions."> Hermitian positive definite solutions.</a> </p> <p class="card-text"><strong>Digital Object Identifier (DOI):</strong> <a href="https://doi.org/10.5281/zenodo.1056316" target="_blank">doi.org/10.5281/zenodo.1056316</a> </p> <a href="https://publications.waset.org/2034/map-based-image-super-resolution-reconstruction" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/2034/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/2034/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/2034/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/2034/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/2034/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/2034/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/2034/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/2034/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/2034/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/2034/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/2034.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">2156</span> </span> <p class="card-text"><strong>References:</strong></p> <br>[1] B. L. Buzbee, G. H. Golub, C. W. Nielson, On direct methods for solving Poisson-s equations, SIAM J. Numer. Anal. 7(1970) 627-656. <br>[2] Tsai, Huang. Multiframes image resolution and registration <br>[J]. In advances in Computer Vision and Image Processing, 1984, (I), 317-319. <br>[3] N.Goldberg, A.Feuer, and G.C.Goodwin, Super-resolution reconstruction using spatio-temporal filtering, J.Vis.Commun.Image R.14(2003)508-525. <br>[4] Ce'line Mancas-Thillou, Majid Mirmehdi, Super-resolution Text using the Teager Filter, First International Workshop on Camera-Based Document Analysis and Recognition, 2005. <br>[5] Alam MS, Bognar JG ,Hardie RC, Yasuda BJ, Infrared image registration and high-resolution reconstruction using multiple translationally shifted aliased video frames. IEEE Transactions on Instrumentation and Measurement, 2000, 49(5):915~923. <br>[6] Hardie RC, Barnard KJ, Armstrong EE. Joint MAP registration and high-resolution image estimation using a sequence of under sampled images. IEEE Transaction on Image Processing,1997,6(12): 1621~1633 <br>[7] Sean Borman, Robert StevensonSpatial, Resolution Enhancement of Low-Resolution Image Sequences A Comprehensive Review with Directions for Future Research, 1998. <br>[8] C Srinivas, M D Srinath.A stochastic model-based approach for simultaneous restoration of multiple miss-registered images (A)..SPIE(C).US, 1990, 1360:1416-1427 <br>[9] S Peleg, D Keren. Improving image resolution using subpixel motion <br>[J]. Pattern Recognit .Letters., 1987,5(3):223-22 <br>[10] M K Ozkan, A M Tekalp, M I Sezan. POCS-based resolution of spacevarying blurred images (J).IEEE Transactions on Image Processing, 1994, 3(7):450-454.. <br>[11] B C Tom, A K Katsaggelos. Reconstruction of a high-resolution image from registration and restoration of low-resolution images (A).In Proceeding of IEEE International Conference on Image Processing(C).Austin,TX:IEEE Press,1994,3:553-557. <br>[12] R R Schultz, R L Stevenson. Improved definition video frame enhancement (A).In Proceeding International Conference on Acoustic, Speech, Signal Processing(C).Detroit, Michigan: IEEE Press, 1995, 4:2169-2172. <br>[13] A J Patti, M I Sezan. Super-resolution video reconstruction with arbitrary sampling lattices and nonzero aperture time (J).IEEE Transactions on Images Processing, 1997,6(8):1064-1076. <br>[14] Salah M.El-Sayed, Andre C.M.Ran, On an iteration methods for solving a class of nonlinear matrix equations,SIAM J. Matrix Anal.Appl. 23(2001)632-645. <br>[15] M Elad, A Feuer. Restoration of a single superresolution image from several blurred, noise, and under sampled measured images (J).IEEE Transactions on Image Processing, 1997, 6(8):1646-1658. <br>[16] N Nguyen. Numerical algorithms for superre solution (D), Ph. D. dissertation ,Stanford Univ.,Stanford,CA,2001. <br>[17] N K Bose, S Lertrattanapanich, J. Koo. Advances in super resolution using L-curve(A).In Proceeding IEEE International Symposium on Circuits Systems(C).IEEE Press,2001,2:433 -436 <br>[18] R Molina, M Vega, J Abad, A K. Katsaggelos. Parameter estimation in Bayesian high-resolution image reconstruction with multisensors (J). IEEE Transactions on Image Processing, 2003, 12(12):1655-1667. <br>[19] E S Lee,G Kang.Regularized adaptive high-resolution image reconstruction considering inaccurate subpixel registration<br>[J]. IEEE Transactions on Image Processing, 2003,12(7):826-836 <br>[20] C M Leung,W S Lu.Multiple-parameter generalization of the tikhonov -miller regularization method for image restoration (A).In Proceedings of27th Annual A silomar Conference on Signals, Systems, and Computers(C).California, U.S.A. </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational anniversary</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Account <li><a href="https://waset.org/profile">My Account</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Explore <li><a href="https://waset.org/disciplines">Disciplines</a></li> <li><a href="https://waset.org/conferences">Conferences</a></li> <li><a href="https://waset.org/conference-programs">Conference Program</a></li> <li><a href="https://waset.org/committees">Committees</a></li> <li><a href="https://publications.waset.org">Publications</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Research <li><a href="https://publications.waset.org/abstracts">Abstracts</a></li> <li><a href="https://publications.waset.org">Periodicals</a></li> <li><a href="https://publications.waset.org/archive">Archive</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Open Science <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Philosophy.pdf">Open Science Philosophy</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Award.pdf">Open Science Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Society-Open-Science-and-Open-Innovation.pdf">Open Innovation</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Postdoctoral-Fellowship-Award.pdf">Postdoctoral Fellowship Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Scholarly-Research-Review.pdf">Scholarly Research Review</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Support <li><a href="https://waset.org/page/support">Support</a></li> <li><a href="https://waset.org/profile/messages/create">Contact Us</a></li> <li><a href="https://waset.org/profile/messages/create">Report Abuse</a></li> </ul> </div> </div> </div> </div> </div> <div class="container text-center"> <hr style="margin-top:0;margin-bottom:.3rem;"> <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" class="text-muted small">Creative Commons Attribution 4.0 International License</a> <div id="copy" class="mt-2">© 2024 World Academy of Science, Engineering and Technology</div> </div> </footer> <a href="javascript:" id="return-to-top"><i class="fas fa-arrow-up"></i></a> <div class="modal" id="modal-template"> <div class="modal-dialog"> <div class="modal-content"> <div class="row m-0 mt-1"> <div class="col-md-12"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> </div> </div> <div class="modal-body"></div> </div> </div> </div> <script src="https://cdn.waset.org/static/plugins/jquery-3.3.1.min.js"></script> <script src="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/js/bootstrap.bundle.min.js"></script> <script src="https://cdn.waset.org/static/js/site.js?v=150220211556"></script> <script> jQuery(document).ready(function() { /*jQuery.get("https://publications.waset.org/xhr/user-menu", function (response) { jQuery('#mainNavMenu').append(response); });*/ jQuery.get({ url: "https://publications.waset.org/xhr/user-menu", cache: false }).then(function(response){ jQuery('#mainNavMenu').append(response); }); }); </script> </body> </html>

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MAP-Based Image Super-resolution Reconstruction