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Proceedings Paper

Spatially adaptive bases in wavelet-based coding of semi-regular meshes
Author(s): Leon Denis; Ruxandra Florea; Adrian Munteanu; Peter Schelkens
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Paper Abstract

In this paper we present a wavelet-based coding approach for semi-regular meshes, which spatially adapts the employed wavelet basis in the wavelet transformation of the mesh. The spatially-adaptive nature of the transform requires additional information to be stored in the bit-stream in order to allow the reconstruction of the transformed mesh at the decoder side. In order to limit this overhead, the mesh is first segmented into regions of approximately equal size. For each spatial region, a predictor is selected in a rate-distortion optimal manner by using a Lagrangian rate-distortion optimization technique. When compared against the classical wavelet transform employing the butterfly subdivision filter, experiments reveal that the proposed spatially-adaptive wavelet transform significantly decreases the energy of the wavelet coefficients for all subbands. Preliminary results show also that employing the proposed transform for the lowest-resolution subband systematically yields improved compression performance at low-to-medium bit-rates. For the Venus and Rabbit test models the compression improvements add up to 1.47 dB and 0.95 dB, respectively.

Paper Details

Date Published: 5 May 2010
PDF: 8 pages
Proc. SPIE 7723, Optics, Photonics, and Digital Technologies for Multimedia Applications, 772310 (5 May 2010); doi: 10.1117/12.853584
Show Author Affiliations
Leon Denis, Vrije Univ. Brussel (Belgium)
Ruxandra Florea, Vrije Univ. Brussel (Belgium)
Adrian Munteanu, Vrije Univ. Brussel (Belgium)
Peter Schelkens, Vrije Univ. Brussel (Belgium)

Published in SPIE Proceedings Vol. 7723:
Optics, Photonics, and Digital Technologies for Multimedia Applications
Peter Schelkens; Touradj Ebrahimi; Gabriel Cristóbal; Frédéric Truchetet; Pasi Saarikko, Editor(s)

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