Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICPR.2010.557
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dc.titleNon-rigid image registration for historical manuscript restoration
dc.contributor.authorWang, J.
dc.contributor.authorTan, C.L.
dc.date.accessioned2013-07-04T08:34:14Z
dc.date.available2013-07-04T08:34:14Z
dc.date.issued2010
dc.identifier.citationWang, J.,Tan, C.L. (2010). Non-rigid image registration for historical manuscript restoration. Proceedings - International Conference on Pattern Recognition : 2274-2277. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/ICPR.2010.557" target="_blank">https://doi.org/10.1109/ICPR.2010.557</a>
dc.identifier.isbn9780769541099
dc.identifier.issn10514651
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/41724
dc.description.abstractThis paper presents a non-rigid registration method for the restoration of double-sided historical manuscripts. Firstly, the gradient direction maps of the two images of a manuscript are examined to identify candidate control points. Then the correspondences of these points are established by minimizing a disimilarity measure consisting of intensity, gradient and displacement. To fully capture the spatial relationship between the two images, a mapping function is defined as the combination of a global affine and local b-splines transformation. The cost function for optimization consists of two parts: normalized mutual information for the goal of similarity and space integral of the square of the second order derivatives for smoothness. To evaluate the proposed method, a wavelet based restoration procedure is applied to registered images. Real documents from the National Archives of Singapore are used for testing and the experimental results are impressive. © 2010 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICPR.2010.557
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1109/ICPR.2010.557
dc.description.sourcetitleProceedings - International Conference on Pattern Recognition
dc.description.page2274-2277
dc.description.codenPICRE
dc.identifier.isiutNOT_IN_WOS
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