research-article

A family of level-dependent biorthogonal wavelet filters for image compression

Authors:

Vittoria Bruni,

Mariantonia Cotronei,

Francesca PitolliAuthors Info & Claims

Volume 367, Issue C

https://doi.org/10.1016/j.cam.2019.112467

Published: 15 March 2020 Publication History

Abstract

In this work we explore the construction and the applications of a special family of level-dependent biorthogonal filters, i.e. filters whose taps depend on the scaling level. Such a family is generated from a class of functions all related through level-dependent (or nonstationary) refinement equations, which contains cardinal polynomial B-splines as a particular case. The greater flexibility offered by the nonstationarity of these filters allows to achieve better results in some image processing problems, such as image compression, when compared to classical biorthogonal B-spline filters.

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Cited By

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Cheggoju NSatpute V(2024)BlinQS: Blind quality scalable image compression algorithm without using PCRD optimizationMultimedia Tools and Applications10.1007/s11042-023-15454-283:2(5251-5275)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1007/s11042-023-15454-2
Li YGao DZhao BXu L(2024)Safety evaluation of hydrogenation station based on biorthogonal B-spline wavelet vector machine optimized by improved lion swarm algorithmSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-023-09550-628:9-10(6801-6808)Online publication date: 1-May-2024
https://dl.acm.org/doi/10.1007/s00500-023-09550-6

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A family of level-dependent biorthogonal wavelet filters for image compression

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cover image Journal of Computational and Applied Mathematics

Journal of Computational and Applied Mathematics Volume 367, Issue C

Mar 2020

577 pages

ISSN:0377-0427

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Elsevier B.V.

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Elsevier Science Publishers B. V.

Netherlands

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Published: 15 March 2020

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Cheggoju NSatpute V(2024)BlinQS: Blind quality scalable image compression algorithm without using PCRD optimizationMultimedia Tools and Applications10.1007/s11042-023-15454-283:2(5251-5275)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1007/s11042-023-15454-2
Li YGao DZhao BXu L(2024)Safety evaluation of hydrogenation station based on biorthogonal B-spline wavelet vector machine optimized by improved lion swarm algorithmSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-023-09550-628:9-10(6801-6808)Online publication date: 1-May-2024
https://dl.acm.org/doi/10.1007/s00500-023-09550-6

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Wavelet bi-frames with uniform symmetry for curve multiresolution processing

Image Denoising Using Matched Biorthogonal Wavelets

Biorthogonal Multiwavelets with Sampling Property and Application in Image Compression

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