Biorthogonal wavelet system for high-resolution image reconstruction

    Authors

    L. X. Shen;Q. Y. Sun

    Comments

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    Abbreviated Journal Title

    IEEE Trans. Signal Process.

    Keywords

    biorthogonal wavelets; deblurring; high-resolution image reconstruction; multiresolution analysis; SUPERRESOLUTION IMAGE; VANISHING MOMENTS; MULTISENSORS; CONSTRUCTION; RESTORATION; ALGORITHM; SEQUENCE; NOISY; Engineering, Electrical & Electronic

    Abstract

    High-resolutioin images are often desired but made impossible because of hardware limitations. For the high-resolution model proposed by Bose and Boo, the iterative wavelet-based algorithm has been shown to perform better than the traditional least square method when the resolution ratio M is two and four. In this paper, we discuss the minimally supported biorthogonal wavelet system that comes from the mathematical model by Bose and Boo and propose a wavelet-based algorithm for arbitrary resolution ratio M greater than or equal to 2. The numerical results indicate that the algorithm based on our biorthogonal wavelet system performs better in high-resolution image reconstruction than the wavelet-based algorithm in the literature, as well as the common-used least square method.

    Journal Title

    Ieee Transactions on Signal Processing

    Volume

    52

    Issue/Number

    7

    Publication Date

    1-1-2004

    Document Type

    Article

    Language

    English

    First Page

    1997

    Last Page

    2011

    WOS Identifier

    WOS:000222136200015

    ISSN

    1053-587X

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