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Article Navigation> JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY> 2018> 27(2): 237-240
Fangbiao Li, Xin He, Zhonghui Wei, Zhiya Mu, Muyu Li. Super-Resolution Image Reconstruction Based on an Improved Maximum a Posteriori Algorithm[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2018, 27(2): 237-240. doi: 10.15918/j.jbit1004-0579.201827.0211
Citation: Fangbiao Li, Xin He, Zhonghui Wei, Zhiya Mu, Muyu Li. Super-Resolution Image Reconstruction Based on an Improved Maximum a Posteriori Algorithm[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2018, 27(2): 237-240.doi:10.15918/j.jbit1004-0579.201827.0211
shu

Super-Resolution Image Reconstruction Based on an Improved Maximum a Posteriori Algorithm

doi:10.15918/j.jbit1004-0579.201827.0211
  • 1.

    Department of Photoelectric Measurement and Control, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China;University of Chinese Academy of Sciences, Beijing 100049, China

  • 2.

    Department of Photoelectric Measurement and Control, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China

  • Received Date:2017-08-22
    Abstract
  • A maximum a posteriori (MAP) algorithm is proposed to improve the accuracy of super resolution (SR) reconstruction in traditional methods. The algorithm applies both joints image registration and SR reconstruction in the framework, but separates them in the process of iteratiion.Firstly, we estimate the shifting parameters through two low resolution (LR) images and use the parameters to reconstruct initial HR images. Then, we update the shifting parameters using HR images. The aforementioned steps are repeated until the ideal HR images are obtained.The metrics such as PSNR and SSIM are used to fully evaluate the quality of the reconstructed image. Experimental results indicate that the proposed method can enhance image resolution efficiently.
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    • References (13)
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