An Iterative Conjugate Gradient Regularization Method for Image Restoration

نویسندگان

  • Jianjun Zhang
  • Qin Wang
چکیده

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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تاریخ انتشار 2010