BFGS method based variable projection approach for image restoration

作者：Chen, Qiong-Ying; Huang, Yun-Zhi^*; Gan, Min; Chen, C. L. Philip; Chen, Guang-Yong

来源：IET Image Processing, 2021, 15(12): 2854-2865.

DOI：10.1049/ipr2.12270

• BLIND DECONVOLUTION
• PARAMETER
• ALGORITHM

In this paper, a variable projection approach based on the BFGS (Broyden-Fletcher-Goldfarb-Shanno) method for image reconstruction problems is proposed, which is an alternative to the common alternating minimisation scheme. The image restoration is expressed as a nonlinear least-squares problem with reduced parameter space. To improve the efficiency of the algorithm, the BFGS method is proposed to be used to optimise the reduced objective function. The large-scale problem considered in this paper is projected on to a small Krylov subspace using Lanczos bidiagonalisation. The regularisation parameter is selected by a weighted generalised cross validation criterion. Numerical examples demonstrate the efficiency and effectiveness of the proposed algorithm.

• 单位
  青岛大学; 福州大学