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Anisotropic fourth-order diffusion regularization for multiframe super-resolution reconstruction

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Abstract

A novel regularization-based approach is presented for super-resolution reconstruction in order to achieve good tradeoff between noise removal and edge preservation. The method is developed by using L1 norm as data fidelity term and anisotropic fourth-order diffusion model as a regularization item to constrain the smoothness of the reconstructed images. To evaluate and prove the performance of the proposed method, series of experiments and comparisons with some existing methods including bi-cubic interpolation method and bilateral total variation method are carried out. Numerical results on synthetic data show that the PSNR improvement of the proposed method is approximately 1.0906 dB on average compared to bilateral total variation method, and the results on real videos indicate that the proposed algorithm is also effective in terms of removing visual artifacts and preserving edges in restored images.

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Authors and Affiliations

  1. College of Information Science and Engineering, Ocean University of China, Qingdao, 266100, China

    Shu-ying Huang  (黄淑英) & Guo-yu Wang  (王国宇)

  2. School of Software and Communication Engineering, Jiangxi University of Finance and Economics, Nanchang, 330013, China

    Shu-ying Huang  (黄淑英)

  3. School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, 330013, China

    Yong Yang  (杨勇)

Authors
  1. Shu-ying Huang  (黄淑英)
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  2. Yong Yang  (杨勇)
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  3. Guo-yu Wang  (王国宇)
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Corresponding author

Correspondence to Guo-yu Wang  (王国宇).

Additional information

Foundation item: Projects(60963012, 61262034) supported by the National Natural Science Foundation of China; Project(211087) supported by the Key Project of Ministry of Education of China; Projects(2010GZS0052, 20114BAB211020) supported by the Natural Science Foundation of Jiangxi Province, China

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Huang, Sy., Yang, Y. & Wang, Gy. Anisotropic fourth-order diffusion regularization for multiframe super-resolution reconstruction. J. Cent. South Univ. 20, 3180–3186 (2013). https://doi.org/10.1007/s11771-013-1842-y

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  • DOI: https://doi.org/10.1007/s11771-013-1842-y

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