KSII Transactions on Internet and Information Systems (TIIS)

  • 제11권1호
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  • Pages.436-450
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  • 2017
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  • 1976-7277(pISSN)
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  • 1976-7277(eISSN)
한국인터넷정보학회 (Korean Society for Internet Information)
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Image Denoising Based on Adaptive Fractional Order Anisotropic Diffusion

  • 투고 : 2016.05.17
  • 심사 : 2016.12.04
  • 발행 : 2017.01.31
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초록

Recently, the method based on fractional order partial differential equation has been used in image processing. Usually, the optional order of fractional differentiation is determined by a lot of experiments. In this paper, a denoising model is proposed based on adaptive fractional order anisotropic diffusion. In the proposed model, the complexity of the local image texture is reflected by the local variance, and the order of the fractional differentiation is determined adaptively. In the process of the adaptive fractional order model, the discrete Fourier transform is applied to compute the fractional order difference as well as the dynamic evolution process. Experimental results show that the peak signal-to-noise ratio (PSNR) and structural similarity index measurement (SSIM) of the proposed image denoising algorithm is better than that of other some algorithms. The proposed algorithm not only can keep the detailed image information and edge information, but also obtain a good visual effect.

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참고문헌

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피인용 문헌

  1. Hybrid image restoration model with adaptive weight parameter vol.26, pp.5, 2017, https://doi.org/10.1117/1.jei.26.5.053007
  2. Image Denoising Based on Adaptive Fractional Order with Improved PM Model vol.2018, pp.None, 2017, https://doi.org/10.1155/2018/9620754