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A DSP-based blind deconvolution algorithm for motion image restoration

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Abstract

In the process of image shooting, image stabilization is an inevitable problem. Therefore, this paper finds an efficient and simple image stabilization algorithm in image stabilization. Using a new image regularization method to reduce the cost of real and clear images, and apply it to the blind deconvolution model without any additional cost. Because of its rapidity and robustness, it matches the processing performance of DSP in image processing. In this article, after re-encoding, so that it can be applied to the DSP, and thus enhance the processing speed of the image processing. In addition, because of the portability of DSP, the DSP embedded with the algorithm can be transplanted to the UAV. The fuzzy picture produced after the shooting is processed in real time to reduce the workload of the later picture processing. Experiments show that the scheme proposed in this paper can achieve real-time performance under the precondition of guaranteeing the computing effect, so as to improve the operating efficiency of the whole system.

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Authors and Affiliations

  1. School of Information Science and Technology, Northwest University, Xi’an, 710127, China

    Jian Zhao, Yuan Shi & Shunli Zhang

  2. School of Electronic Engineering, Xi’an University of Posts and Telecommunications, Xi’an, 710121, China

    Duan Xie

Authors
  1. Jian Zhao
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  2. Yuan Shi
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  3. Shunli Zhang
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  4. Duan Xie
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Correspondence to Shunli Zhang.

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Zhao, J., Shi, Y., Zhang, S. et al. A DSP-based blind deconvolution algorithm for motion image restoration. Cluster Comput 22 (Suppl 4), 8493–8500 (2019). https://doi.org/10.1007/s10586-018-1881-0

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  • DOI: https://doi.org/10.1007/s10586-018-1881-0

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