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| Fractional-Order Multi-scale Variation PDE Model and Adaptive Algorithm for SAR Image Denoising |
| Zhang Jun①; Wei Zhi-hui② |
①School of Science, Nanjing University of Science and Technology, Nanjing 210094, China;
②School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing 210094, China |
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Abstract In the processing of Synthetic Aperture Radar (SAR) image speckle noise reduction, maintaining the edges and textures of image are very important. This paper proposes a fractional-order multi-scale Partial Differential Equation (PDE) model by modeling the image with fractional-order derivative and negative Sobolev space, and then gives the adaptive selection method for the model parameters and the region-scale adaptive algorithm for SAR image denoising. Numerical experiments show that the new method can achieve better results in removing the noise, restraining the staircase effect and preserving edges and textures.
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Received: 19 June 2009
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Corresponding Authors:
Zhang Jun
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2010, Vol. 32 
