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Volume 37 Issue 12
Jan.  2016
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Tang Rui-yin, Shen Hong-hai, He Hong-kun. Application of Denoising Method to Local Strong Reflection Based on Fractional Differentials[J]. Journal of Electronics & Information Technology, 2015, 37(12): 3046-3050. doi: 10.11999/JEIT150500
Citation: Tang Rui-yin, Shen Hong-hai, He Hong-kun. Application of Denoising Method to Local Strong Reflection Based on Fractional Differentials[J]. Journal of Electronics & Information Technology, 2015, 37(12): 3046-3050. doi: 10.11999/JEIT150500

Application of Denoising Method to Local Strong Reflection Based on Fractional Differentials

doi: 10.11999/JEIT150500
Funds:

The National Natural Science Foundation of China (51105273)

  • Received Date: 2015-04-30
  • Rev Recd Date: 2015-07-27
  • Publish Date: 2015-12-19
  • To deal with the problem of the serious speckle or composite speckle noise in the image of the strong reflection surface, an image denoising algorithm based on fractional differential enhancement is proposed, which can highlight the granular characteristics of noise, by means of the method of connected region area to remove speckle noise and separate the effective continuous light stripe. Finally, the center of the effective light stripe is extracted with the gray gravity method. By comparison, the method can significantly improve the information entropy and the extraction accuracy of the light stripe center. The fractional differential enhancement algorithm enhance the high frequency information of the image, at the same time it effectively preserves the features of the low frequency information and more details of image texture, and the accuracy of feature extraction is significantly improved.
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