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The Implementation of LSMR in Image Deblurring |
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PP: 3041-3048 |
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Author(s) |
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Hao Xu,
Ting-Zhu Huang,
Xiao-Guang Lv,
Jun Liu,
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Abstract |
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| Image deblurring is a classic problem which has been extensively studied in image processing. The challenge of image
deblurring is how to devise efficient and reliable algorithms for recovering the original, sharp image from a blurred and noisy one.
In this paper, we consider the implementation of the LSMR method for computing an approximate solution of an ill-posed problem
arising from image deblurring. When equipped with a stopping rule based on the discrepancy principle, the LSMR method acts as a
regularization method. The numerical examples illustrate that the LSMR method is able to give restored images of higher quality with
less computational effort than other widely used regularization methods. |
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