Reconstruction Improvements on Compressed Sensing

  • Yan Zhang Prairie View A&M University, Prairie View, TX, 77446, USA
  • Suxia Cui Prairie View A&M University, Prairie View, TX, 77446, USA
  • Yonghui Wang Prairie View A&M University, Prairie View, TX, 77446, USA
Keywords: Compressive Sensing, GPU, multi-thread

Abstract

This paper presents the design of Improvements on Reconstruction of Compressive Sensed images. The proposed techniques will improve the reconstruction time consumption. Those improvements use techniques including matrix simplification, multi-thread and GPU computations.  Implementing those improvements achieve gains on time consumption, compared to the baseline. This paper also presents a novel scheme of buffering steamed image (video) to achieve optimum performance.

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Published
2017-11-22
How to Cite
Zhang, Y., Cui, S., & Wang, Y. (2017). Reconstruction Improvements on Compressed Sensing. Journal of Information Sciences and Computing Technologies, 6(2), 604-611. Retrieved from http://scitecresearch.com/journals/index.php/jisct/article/view/1274
Section
Articles