Theoretical distortion estimation in L-infinite wavelet-based coding of semi-regular meshes

Subdivision-based wavelet coding techniques yield state-of-the-art performance in scalable compression of semi-regular meshes. However, all these codecs make use of the L-2 distortion metric, which gives only a good approximation of the global error produced by lossy coding of the wavelet coefficien...

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Bibliographic Details
Published in:2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO) pp. 764 - 768
Main Authors: Florea, R., Denis, L., Lievens, J., Schelkens, P., Munteanu, A.
Format: Conference Proceeding
Language:English
Published: IEEE 01.08.2012
Subjects:
Approximation methods
Codecs
Encoding
Image coding
L-infinite coding
Measurement
semi-regular mesh compression
subdivision-based wavelets
Wavelet transforms
ISBN:1467310689, 9781467310680
ISSN:2219-5491, 2219-5491
Online Access:Get full text
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Summary:Subdivision-based wavelet coding techniques yield state-of-the-art performance in scalable compression of semi-regular meshes. However, all these codecs make use of the L-2 distortion metric, which gives only a good approximation of the global error produced by lossy coding of the wavelet coefficients. The L-infinite metric has been proven to be a suitable metric for applications where controlling the local, maximum error on each vertex is of critical importance. In this context, an upper bound formulation for the L-infinite distortion for a wavelet-based coding scheme operating on semi-regular meshes is derived. In addition, we propose a rate-distortion optimization algorithm that minimizes the rate for any target L-infinite distortion. It is shown that our L-infinite coding system outperforms the state-of-the-art and that an L-2 driven coding approach for semi-regular meshes loses ground to its L-infinite driven version when the goal is to have a tight control on the local reconstruction error.
ISBN:1467310689
9781467310680
ISSN:2219-5491
2219-5491