Image reconstruction using Loop subdivision Zhou, Hailing, Zheng, Jianmin and Li, Xin 2010, Image reconstruction using Loop subdivision, in APSIPA/ASC 2010 - Proceedings of the 2nd 2010 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, [The Conference], [Biopolis, Singapore], pp. 1-1. Attached Files Name Description MIMEType Size Downloads Title Image reconstruction using Loop subdivision Author(s) Zhou, Hailing Zheng, Jianmin Li, Xin Conference name Asia-Pacific Signal and Information Processing Association. Summit and Conference (2nd : 2010 : Biopolis, Singapore) Conference location Biopolis, Singapore Conference dates 14-17 Dec. 2010 Title of proceedings APSIPA/ASC 2010 - Proceedings of the 2nd 2010 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference Editor(s) [Unknown] Publication date 2010 Conference series Asia-Pacific Signal and Information Processing Association Annual Summit and Conference Start page 1 End page 1 Total pages 1 Publisher [The Conference] Place of publication [Biopolis, Singapore] Summary It is an ultimate objective to reconstruct an image with high quality using a compact representation, which is the basic step in image-manipulation fields. We propose an effective vectorization based approach to reconstruct an image using a triangular mesh associated with Loop subdivision scheme in the present paper. With an initial control mesh obtained by simplifying a dense mesh from a quality-preserved triangulation, we produce the final optimal control mesh by optimizing a mesh over topologies and colors to approximate the given image. The main advantages of the approach include: (1) the reconstruction of an image is not restricted to be aligned with image coordinate axes; (2) a high order continuous function is defined over a triangle instead of a bilinear interpolation; (3) it is a compact and vector-based representation easy to edit and transmit. Experimental results are presented to confirm the effectiveness of the method. Comparisons with the bi-cubic spline and the mesh simplification methods demonstrate the merits of our method in reconstruction quality and representation size. Language eng Field of Research 080103 Computer Graphics 080104 Computer Vision 080106 Image Processing Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category EN.1 Other conference paper Persistent URL http://hdl.handle.net/10536/DRO/DU:30049242 Document type: Conference Paper Collection: Centre for Intelligent Systems Research   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 01 Nov 2012, 13:13:25 EST Fri, 18 Jan 2013, 11:20:24 EST Fri, 18 Jan 2013, 11:21:01 EST Thu, 09 Oct 2014, 10:16:53 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 62 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Thu, 01 Nov 2012, 13:13:25 EST

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