IEIE Transactions on Smart Processing and Computing

The Institute of Electronics and Information Engineers (대한전자공학회)
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Multi-Resolution Kronecker Compressive Sensing

  • Canh, Thuong Nguyen (Department of Electronic and Electrical Engineering, Sungkyunkwan University) ;
  • Quoc, Khanh Dinh (Department of Electronic and Electrical Engineering, Sungkyunkwan University) ;
  • Jeon, Byeungwoo (Department of Electronic and Electrical Engineering, Sungkyunkwan University)
  • Received : 2013.10.20
  • Accepted : 2013.11.15
  • Published : 2014.02.28
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Abstract

Compressive sensing is an emerging sampling technique which enables sampling a signal at a much lower rate than the Nyquist rate. In this paper, we propose a novel framework based on Kronecker compressive sensing that provides multi-resolution image reconstruction capability. By exploiting the relationship of the sensing matrices between low and high resolution images, the proposed method can reconstruct both high and low resolution images from a single measurement vector. Furthermore, post-processing using BM3D improves its recovery performance. The experimental results showed that the proposed scheme provides significant gains over the conventional framework with respect to the objective and subjective qualities.

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References

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