Bi-frames with 4-fold axial symmetry for quadrilateral surface multiresolution processing
نویسنده
چکیده
When bivariate filter banks and wavelets are used for surface multiresolution processing, it is required that the decomposition and reconstruction algorithms for regular vertices derived from them have high symmetry. This symmetry requirement makes it possible to design the corresponding multiresolution algorithms for extraordinary vertices. Recently lifting-scheme based biorthogonal bivariate wavelets with high symmetry have been constructed for surface multiresolution processing. If biorthogonal wavelets have certain smoothness, then the analysis or synthesis scaling function, or both have big supports in general. In particular, when the synthesis lowpass filter is a commonly used scheme such as Loop’s scheme or Catmull-Clark’s scheme, the corresponding analysis lowpass filter has a big support and the corresponding analysis scaling function and wavelets have poor smoothness. Big supports of scaling functions, or in other words, big templates of multiresolution algorithms are undesirable for surface processing. On the other hand, frame provides a flexibility for the construction of “basis” systems. This paper concerns the construction of wavelet (or affine) bi-frames with high symmetry. In this paper we study the construction of wavelet bi-frames with 4-fold symmetry for quadrilateral surface multiresolution processing, with both the dyadic and √ 2 refinements considered. The constructed bi-frames have 4 framelets (or frame generators) for the dyadic refinement, and 2 framelets for the √ 2 refinement. Namely, with either the dyadic or √ 2 refinement, a frame system constructed in this paper has one more generator only than a wavelet system. The constructed bi-frames have better smoothness and smaller supports than biorthogonal wavelets. Furthermore, all the frame algorithms considered in this paper are given by templates so that one can easily implement them. AMS 2000 Math Subject Classification: 42C40, 65T60, 68U07, 65D17
منابع مشابه
Highly Symmetric Bi-frames for Triangle Surface Multiresolution Processing
In this paper we investigate the construction of dyadic affine (wavelet) bi-frames for triangular-mesh surface multiresolution processing. We introduce 6-fold symmetric bi-frames with 4 framelets (frame generators). 6-fold symmetric bi-frames yield frame decomposition and reconstruction algorithms (for regular vertices) with high symmetry, which is required for the design of the corresponding f...
متن کاملBiorthogonal wavelets with 4-fold axial symmetry for quadrilateral surface multiresolution processing
Surface multiresolution processing is an important subject in CAGD. It also poses many challenging problems including the design of multiresolution algorithms. Unlike images which are in general sampled on a regular square or hexagonal lattice, the meshes in surfaces processing could have an arbitrary topology, namely, they consist of not only regular vertices but also extraordinary vertices, w...
متن کاملWavelet bi-frames with uniform symmetry for curve multiresolution processing
This paper is about the construction of wavelet bi-frames with each framelets being symmetric. When filter banks are used for surface multiresolution processing, it is required that the corresponding decomposition and reconstruction algorithms, including the algorithms for boundary vertices, have high symmetry which makes it possible to design the corresponding multiresolution algorithms for ex...
متن کاملHighly Symmetric √ 3-refinement Bi-frames for Surface Multiresolution Processing
Multiresolution techniques for (mesh-based) surface processing have been developed and successfully used in surface progressive transmission, compression and other applications. A triangular mesh allows √ 3, dyadic and √ 7 refinements. The √ 3-refinement is the most appealing one for multiresolution data processing since it has the slowest progression through scale and provides more resolution ...
متن کاملBiorthogonal Wavelets with Six-fold axial Symmetry for Hexagonal Data and Triangle Surface Multiresolution Processing
This paper concerns the construction of highly symmetric compactly supported wavelets for hexagonal data/image and triangle surface multiresolution processing. Recently hexagonal image processing has attracted attention. Compared with the conventional square lattice, the hexagonal lattice has several advantages, including that it has higher symmetry. It is desirable that the filter banks for he...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- J. Computational Applied Mathematics
دوره 234 شماره
صفحات -
تاریخ انتشار 2010