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Application of Denoising Method to Local Strong Reflection Based on Fractional Differentials |
Tang Rui-yin Shen Hong-hai He Hong-kun |
(College of Electrical Engineering, North China University of Science and Technology, Tangshan 063000, China) |
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Abstract 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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Received: 30 April 2015
Published: 13 October 2015
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Fund: The National Natural Science Foundation of China (51105273) |
Corresponding Authors:
Tang Rui-yin
E-mail: dancingbaby@126.com
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