Acta Optica Sinica, Volume. 29, Issue 6, 1530(2009)

Image Denoising Algorithm with Nonlinear Diffusion Image Based on Region Homogeneity Measure

Mao Yuxing*, He Wei, and Zhang Zhanlong
Author Affiliations
  • [in Chinese]
  • show less

    Based on the anisotropic diffusion equation, the disadvantages of high computational complexity and unstability in speckle noise elimination with the existing diffusion algorithms are analyzed. A new algorithm of diffusion direction estimation is proposed. The variances of stripe regions in four directions are adopted as the direction measure of local area in the image. The general and diagonal integral images are adopted for fast computation of the variances. The diffusion quantity of each pixel is determined by the differences between the current point and the eight adjacent pixels together with the weight coefficients in corresponding directions. Meanwhile, the diffusion equation and realization process are presented. Experimental results demonstrate that this method has strong adaptability. It can protect the texture details well during noise elimination, and reduce the consumption of time due to few iteration number.

    Tools

    Get Citation

    Copy Citation Text

    Mao Yuxing, He Wei, Zhang Zhanlong. Image Denoising Algorithm with Nonlinear Diffusion Image Based on Region Homogeneity Measure[J]. Acta Optica Sinica, 2009, 29(6): 1530

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Image Processing

    Received: Dec. 11, 2008

    Accepted: --

    Published Online: Jun. 8, 2009

    The Author Email: Yuxing Mao (myx@cqu.edu.cn)

    DOI:

    Topics