Analytic and directional wavelet packets in the space of periodic signals

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.& COPY; 2023 Elsevier Inc. All rights reserved.

Automated summary

The paper introduces a versatile library of analytic and quasi-analytic complex-valued wavelet packets (WPs) originating from discrete splines of arbitrary orders. The real parts of the quasi-analytic WPs are the regular spline-based orthonormal WPs, while the imaginary parts are the complementary orthonormal WPs that are antisymmetric. The tensor products of 1D quasi-analytic WPs provide a variety of 2D WPs oriented in multiple directions. The presented computational scheme allows for fast and easy implementation of the WP transforms. The WPs have been proven to be efficient in signal/image processing applications such as image restoration with additive noise or missing pixels by up to 90%.