Denoising on Sphere via Large Spherical t-designs and Spherical Framelets

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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Author(s)

Related Research Unit(s)

Detail(s)

Original languageEnglish
Title of host publication2023 International Conference on Sampling Theory and Applications (SampTA)
PublisherInstitute of Electrical and Electronics Engineers, Inc.
Number of pages5
ISBN (electronic)979-8-3503-2885-1
ISBN (print)979-8-3503-2886-8
Publication statusPublished - 2023

Publication series

NameInternational Conference on Sampling Theory and Applications (SampTA)
ISSN (Print)2831-5480
ISSN (electronic)2694-0108

Conference

Title14th International conference on Sampling Theory and Applications (SampTA 2023)
LocationYale University
PlaceUnited States
CityNew Haven
Period10 - 14 July 2023

Link(s)

DOI

DOI
Check@CityULib
Link to Scopus https://www.scopus.com/record/display.uri?eid=2-s2.0-85178505001&origin=recordpage
Permanent Link https://scholars.cityu.edu.hk/en/publications/publication(40b0b554-61b2-4f07-ba03-9cfa163a3fe9).html

Abstract

In this paper, we investigate the spherical t-designs with large value of t for function approximation, construction of spherical framelets, and the important task of spherical signal processing. Based on the spherical framelet systems and the fast framelet transform algorithms, we propose an effective denoising scheme for spherical signal denoising that utilizes the nice properties of spherical t-designs with large t value. We provide numerical results of signal/image denoising on several data sets. ©2023 IEEE.

Research Area(s)

  • Tight framelets, spherical framelets, fast spherical harmonic transforms, fast spherical framelet transforms, spherical t-designs, Wendland functions, ETOPO1, spherical signals/images, image/signal denoising

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Publication fingerprints text

100
Denoising Keyphrases
100
Framelet Keyphrases
100
T-design Keyphrases
100
design INIS
100
spheres INIS
100
signals INIS
100
Sphere Mathematics
100
Framelets Mathematics
66
Spherical Signals Keyphrases
66
values INIS
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Citation Format(s)

[ RIS ] [ BibTeX ]
Denoising on Sphere via Large Spherical t-designs and Spherical Framelets. / Zhuang, Xiaosheng; Xiao, Yuchen.
2023 International Conference on Sampling Theory and Applications (SampTA). Institute of Electrical and Electronics Engineers, Inc., 2023. (International Conference on Sampling Theory and Applications (SampTA)).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review