DocumentCode :
1851386
Title :
Theoretical distortion estimation in L-infinite wavelet-based coding of semi-regular meshes
Author :
Florea, Ruxandra ; Denis, Leon ; Lievens, Jan ; Schelkens, Peter ; Munteanu, Adrian
Author_Institution :
Dept. of Electron. & Inf. (ETRO), Vrije Univ. Brussel, Brussels, Belgium
fYear :
2012
fDate :
27-31 Aug. 2012
Firstpage :
764
Lastpage :
768
Abstract :
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.
Keywords :
codecs; data compression; image coding; image reconstruction; wavelet transforms; L-2 driven coding approach; L-infinite coding system; L-infinite distortion; L-infinite wavelet- based coding; codecs; local reconstruction error; lossy coding; rate-distortion optimization algorithm; scalable compression; semiregular meshes; subdivision-based wavelet coding techniques; theoretical distortion estimation; wavelet coefficients; Approximation methods; Codecs; Encoding; Image coding; Measurement; Wavelet transforms; L-infinite coding; semi-regular mesh compression; subdivision-based wavelets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European
Conference_Location :
Bucharest
ISSN :
2219-5491
Print_ISBN :
978-1-4673-1068-0
Type :
conf
Filename :
6334035
Link To Document :
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