Subdivision-based wavelet coding techniques yield state-of-the-art performance in scalable compression of semi-regularmeshes. However, all these codecs make use of the L-2 distortion metric, which gives only a good a...
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ISBN:
(纸本)9781467310680
Subdivision-based wavelet coding techniques yield state-of-the-art performance in scalable compression of semi-regularmeshes. 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-regularmeshes 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-regularmeshes loses ground to its L-infinite driven version when the goal is to have a tight control on the local reconstruction error.
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