Literature DB >> 20028635

The lifting scheme for wavelet bi-frames: theory, structure, and algorithm.

Xiaoyuan Yang1, Yan Shi, Liuhe Chen, Zongfeng Quan.   

Abstract

In this paper, we present the lifting scheme of wavelet bi-frames along with theory analysis, structure, and algorithm. We show how any wavelet bi-frame can be decomposed into a finite sequence of simple filtering steps. This decomposition corresponds to a factorization of a polyphase matrix of a wavelet bi-frame. Based on this concept, we present a new idea for constructing wavelet bi-frames. For the construction of symmetric bi-frames, we use generalized Bernstein basis functions, which enable us to design symmetric prediction and update filters. The construction allows more efficient implementation and provides tools for custom design of wavelet bi-frames. By combining the different designed filters for the prediction and update steps, we can devise practically unlimited forms of wavelet bi-frames. Moreover, we present an algorithm of increasing the number of vanishing moments of bi-framelets to arbitrary order via the presented lifting scheme, which adopts an iterative algorithm and ensures the shortest lifting scheme. Several construction examples are given to illustrate the results.

Year:  2009        PMID: 20028635     DOI: 10.1109/TIP.2009.2038762

Source DB:  PubMed          Journal:  IEEE Trans Image Process        ISSN: 1057-7149            Impact factor:   10.856


  2 in total

Review 1.  Wavelet Based Filters for Artifact Elimination in Electroencephalography Signal: A Review.

Authors:  Syarifah Noor Syakiylla Sayed Daud; Rubita Sudirman
Journal:  Ann Biomed Eng       Date:  2022-08-22       Impact factor: 4.219

2.  Adaptive redundant lifting wavelet transform based on fitting for fault feature extraction of roller bearings.

Authors:  Zijing Yang; Ligang Cai; Lixin Gao; Huaqing Wang
Journal:  Sensors (Basel)       Date:  2012-03-29       Impact factor: 3.576

  2 in total

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