Sparsity-based optimization of two lifting-based wavelet transforms for semi-regular mesh compression

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• 作者：Aymen Kammoun ^{kammoun@i3s.unice.fr} ; Fré ; dé ; ric Payan ; ^{fpayan@i3s.unice.fr} ; Marc Antonini ^{am@i3s.unice.fr}
• 关键词：Wavelets ; Lifting scheme ; Semi-regular mesh ; Compression ; Butterfly ; Loop ; Sparsity ; Optimization
• 刊名：Computers and Graphics
• 出版年：2012
• 期刊代码：36_00978493
• 类别：cp
• 出版时间：June, 2012
• 卷：36
• 期：4
• 页码：272-282
• 文件大小：1732 K

摘要

This paper describes how to optimize two popular wavelet transforms for semi-regular meshes, using a lifting scheme. The objective is to adapt multiresolution analysis to the input mesh to improve its subsequent coding. Considering either the Butterfly- or the Loop-based lifting schemes, our algorithm finds at each resolution level an optimal prediction operator P such that it minimizes the of the wavelet coefficients. The update operator U is then recomputed in order to take into account the modifications to P. Experimental results show that our algorithm improves on state-of-the-art wavelet coders.