Description

Book Synopsis
In image deblurring, the goal is to recover the original, sharp image by using a mathematical model of the blurring process. The key issue is that some information on the lost details is indeed present in the blurred image, but this 'hidden' information can be recovered only if we know the details of the blurring process. Deblurring Images: Matrices, Spectra, and Filtering describes the deblurring algorithms and techniques collectively known as spectral filtering methods, in which the singular value decomposition - or a similar decomposition with spectral properties - is used to introduce the necessary regularization or filtering in the reconstructed image. The concise MATLAB implementations described in the book provide a template of techniques that can be used to restore blurred images from many applications.

Deblurring Images Matrices Spectra and Filtering Fundamentals of Algorithms Series Number 3

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A Paperback by Per Christian Hansen

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    View other formats and editions of Deblurring Images Matrices Spectra and Filtering Fundamentals of Algorithms Series Number 3 by Per Christian Hansen

    Publisher: Society for Industrial and Applied Mathematics
    Publication Date: 3/29/2007
    ISBN13: 9780898716184, 978-0898716184
    ISBN10: 0898716187
    Also in:
    Imaging systems and technology

    Description

    Book Synopsis
    In image deblurring, the goal is to recover the original, sharp image by using a mathematical model of the blurring process. The key issue is that some information on the lost details is indeed present in the blurred image, but this 'hidden' information can be recovered only if we know the details of the blurring process. Deblurring Images: Matrices, Spectra, and Filtering describes the deblurring algorithms and techniques collectively known as spectral filtering methods, in which the singular value decomposition - or a similar decomposition with spectral properties - is used to introduce the necessary regularization or filtering in the reconstructed image. The concise MATLAB implementations described in the book provide a template of techniques that can be used to restore blurred images from many applications.

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