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Image reconstruction using Loop subdivision

conference contribution
posted on 2010-01-01, 00:00 authored by Hailing Zhou, J Zheng, X Li
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.

History

Event

Asia-Pacific Signal and Information Processing Association. Summit and Conference (2nd : 2010 : Biopolis, Singapore)

Pagination

1 - 1

Publisher

[The Conference]

Location

Biopolis, Singapore

Place of publication

[Biopolis, Singapore]

Start date

2010-12-14

End date

2010-12-17

Language

eng

Publication classification

EN.1 Other conference paper

Title of proceedings

APSIPA/ASC 2010 - Proceedings of the 2nd 2010 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference

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