Fine-Granularity and Spatially-Adaptive Regularization for Projection-Based Image Deblurring

@article{Li2011FineGranularityAS,
  title={Fine-Granularity and Spatially-Adaptive Regularization for Projection-Based Image Deblurring},
  author={Xin Li},
  journal={IEEE Transactions on Image Processing},
  year={2011},
  volume={20},
  pages={971-983}
}
This paper studies two classes of regularization strategies to achieve an improved tradeoff between image recovery and noise suppression in projection-based image deblurring. The first is based on a simple fact that r-times Landweber iteration leads to a fixed level of regularization, which allows us to achieve fine-granularity control of projection-based iterative deblurring by varying the value r. The regularization behavior is explained by using the theory of Lagrangian multiplier for… CONTINUE READING
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