Variable-p iteratively weighted algorithm for image reconstruction

  • Authors:

  • Zhe Liu;Xiaoxian Zhen

  • Affiliations:

  • School of Science, Northwestern Polytechnical University, Xi'an, China;School of Science, Northwestern Polytechnical University, Xi'an, China

  • Venue:
  • AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part II
  • Year:
  • 2011

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Abstract

In this work, a novel variable-p iteratively weighted algorithm is proposed for image reconstruction. The proposed algorithm introduced a dynamically adjusting strategy for the variable p in the nonconvex lp(0pl1 norm problem which is easy to implement, and approach the original l0 norm problem during the iteration. Numerical experiments indicate that the proposed algorithm can reconstruct the images with fewer measurements than existing fixed-p algorithms.