Designing robust sensing matrix for image compression

  title={Designing robust sensing matrix for image compression},
  author={Gang Li and Xiao Li and Sheng Li and Huang Bai and Qianru Jiang and Xiongxiong He},
  journal={IEEE Transactions on Image Processing},
This paper deals with designing sensing matrix for compressive sensing systems. Traditionally, the optimal sensing matrix is designed so that the Gram of the equivalent dictionary is as close as possible to a target Gram with small mutual coherence. A novel design strategy is proposed, in which, unlike the traditional approaches, the measure considers of mutual coherence behavior of the equivalent dictionary as well as sparse representation errors of the signals. The optimal sensing matrix is… CONTINUE READING
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An Introduction to Frames and Riesz Bases, Boston, MA, USA: Birkhäuser

  • O. Christensen
  • 2003
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