2013
DOI: 10.1137/110860604
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On B-Spline Framelets Derived from the Unitary Extension Principle

Abstract: The spline wavelet tight frames considered in [A. Ron and Z. Shen, J. Funct. Anal., 148 (1997), pp. 408-447] have been used widely in frame based image analysis and restorations (see, e.g., survey articles [B. Dong and Z. Shen, MRA-based wavelet frames and applications, IAS Lecture , there are few other properties of this family of tight frames that are currently known. The aim of this paper is to present a few new properties of this family that will provide some reasons why it is efficient in image analysis… Show more

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Cited by 10 publications
(7 citation statements)
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“…In Section 4.3, we will provide details on the quantities defined above using Haar and piecewise linear framelets as examples. The existence of ϕ i is guaranteed by the work [56]. In fact, a uniform form of such a function ϕ i for an arbitrary B-spline framelet is given by [56].…”
Section: 22mentioning
confidence: 99%
See 1 more Smart Citation
“…In Section 4.3, we will provide details on the quantities defined above using Haar and piecewise linear framelets as examples. The existence of ϕ i is guaranteed by the work [56]. In fact, a uniform form of such a function ϕ i for an arbitrary B-spline framelet is given by [56].…”
Section: 22mentioning
confidence: 99%
“…The existence of ϕ i is guaranteed by the work [56]. In fact, a uniform form of such a function ϕ i for an arbitrary B-spline framelet is given by [56]. (3) When multi-level framelet decomposition is used, i.e.…”
Section: 22mentioning
confidence: 99%
“…where * denotes the discrete convolution. The key observation made by [11] is that for the piecewise Bspline framelets ψ α , there exists a function ϕ α associated to ψ α such that R 2 ϕ α dx = 0, ψ α = ∂ α ϕ α and supp(ψ α ) = supp(ϕ α ), and the explicit formulae of ϕ α are given in [57]. With the aid of the theory of distribution [42,55], Proposition 2.1 generalizes the same result to any tensor product framelet.…”
Section: Vanishing Moments and Related Theorymentioning
confidence: 99%
“…Interested readers may consult e.g. (Ron and Shen 1997, Dong and Shen 2012, Shen and Xu 2013 for the detailed surveys. In this paper, we only consider the 2-dimensional case as we focus on the undersampled 2-dimensional image reconstruction.…”
Section: Preliminaries On Frameletsmentioning
confidence: 99%