A new design in iterative image deblurring for improved robustness and performance

作者：

Highlights：

• A new approach is designed to improve the robustness of iterative processes for image deblurring.

• A relaxed initiation of iterative processes is designed to prevent the propagation of the noise term in the observed images.

• A pixel-wise update of the step size for the iterative process is introduced to prevent divergence in computation.

• The new method can restore blurred images when the signal-to-noise ratio is low.

摘要

•A new approach is designed to improve the robustness of iterative processes for image deblurring.•A relaxed initiation of iterative processes is designed to prevent the propagation of the noise term in the observed images.•A pixel-wise update of the step size for the iterative process is introduced to prevent divergence in computation.•The new method can restore blurred images when the signal-to-noise ratio is low.

论文关键词：Image deblurring,Image restoration,Iterative algorithms,Relaxed initialization,Noise removal,Landweber method

论文评审过程：Received 9 August 2018, Revised 6 November 2018, Accepted 7 January 2019, Available online 17 January 2019, Version of Record 28 January 2019.

论文官网地址：https://doi.org/10.1016/j.patcog.2019.01.019