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Volume 5, Issue 1
An Iterative Conjugate Gradient Regularization Method for Image Restoration

Jianjun Zhang , Qin Wang

J. Info. Comput. Sci. , 5 (2010), pp. 055-062.

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  • Abstract
Image restoration is an ill-posed inverse problem, which has been introduced the regularization method to suppress over-amplification. In this paper, we propose to apply the iterative regularization method to the image restoration problem and present a nested iterative method, called iterative conjugate gradient regularization method. Convergence properties are established in detail. Based on [6], we also simultaneously determine the regularization parameter based on the restored image at each step. Simulation results show that the proposed iterative regularization method is feasible and effective for image restoration.
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@Article{JICS-5-055, author = {Jianjun Zhang , Qin Wang}, title = {An Iterative Conjugate Gradient Regularization Method for Image Restoration}, journal = {Journal of Information and Computing Science}, year = {2024}, volume = {5}, number = {1}, pages = {055--062}, abstract = { Image restoration is an ill-posed inverse problem, which has been introduced the regularization method to suppress over-amplification. In this paper, we propose to apply the iterative regularization method to the image restoration problem and present a nested iterative method, called iterative conjugate gradient regularization method. Convergence properties are established in detail. Based on [6], we also simultaneously determine the regularization parameter based on the restored image at each step. Simulation results show that the proposed iterative regularization method is feasible and effective for image restoration. }, issn = {1746-7659}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jics/22729.html} }
TY - JOUR T1 - An Iterative Conjugate Gradient Regularization Method for Image Restoration AU - Jianjun Zhang , Qin Wang JO - Journal of Information and Computing Science VL - 1 SP - 055 EP - 062 PY - 2024 DA - 2024/01 SN - 5 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/jics/22729.html KW - AB - Image restoration is an ill-posed inverse problem, which has been introduced the regularization method to suppress over-amplification. In this paper, we propose to apply the iterative regularization method to the image restoration problem and present a nested iterative method, called iterative conjugate gradient regularization method. Convergence properties are established in detail. Based on [6], we also simultaneously determine the regularization parameter based on the restored image at each step. Simulation results show that the proposed iterative regularization method is feasible and effective for image restoration.
Jianjun Zhang , Qin Wang. (2024). An Iterative Conjugate Gradient Regularization Method for Image Restoration. Journal of Information and Computing Science. 5 (1). 055-062. doi:
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