Regularization is an well-known technique for obtaining stable solution of ill-posed inverse problems. In this paper we establish a key relationship among the regularization methods with edge-preserving noise filtering method which leads to an efficient adaptive regularization methods. We show experimentally the efficiency and superiority of the proposed regularization methods for some inverse problems, e.g. deblurring and super-resolution (SR) image reconstruction.


Inverse Problem Regularization Method Regularization Term Geodesic Distance Super Resolution 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Pulak Purkait
    • 1
  • Bhabatosh Chanda
    • 1
  1. 1.ECSUIndian Statistical InstituteIndia

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