Analytic and directional wavelet packets in the space of periodic signals

Amir Averbuch*, Pekka Neittaanmäki, Valery Zheludev

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The paper presents a versatile library of analytic and quasi-analytic complex-valued wavelet packets (WPs) which originate from discrete splines of arbitrary orders. The real parts of the quasi-analytic WPs are the regular spline-based orthonormal WPs designed in [4]. The imaginary parts are the so-called complementary orthonormal WPs, which, unlike the symmetric regular WPs, are antisymmetric. Tensor products of 1D quasi-analytic WPs provide a diversity of 2D WPs oriented in multiple directions. The designed computational scheme in the paper enables us to get fast and easy implementation of the WP transforms. The presented WPs proved to be efficient in signal/image processing applications such as restoration of images degraded by either additive noise or missing of up to 90% of their pixels.

Original languageEnglish
Article number101571
JournalApplied and Computational Harmonic Analysis
Volume67
DOIs
StatePublished - Nov 2023

Funding

FundersFunder number
Ministry of Science, Technology and Space3-13601, 3-17927, 3-16414
Academy of Finland311514
Israel Science Foundation1873/21, 1556/17

    Keywords

    • Analytic wavelet packet
    • Directional wavelet packet
    • Discrete periodic splines
    • Image denoising and impainting

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