Sar Image Speckle Reduction Method Based on Neighborhood Directional Information
A directional and neighborhood technology, applied in the field of image processing, can solve the problems of insufficient speckle noise filtering, loss of image details and edge information, etc., and achieve the effect of enriching image edge and detail information.
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[0024] refer to figure 1 , the specific implementation steps of the present invention are as follows:
[0025] Step 1, the input SAR image is recorded as y, the SAR image itself is an image polluted by speckle noise, so it is not necessary to add a random noise or noise of a certain characteristic to the original image like studying natural image denoising, and can directly Speckle reduction processing is performed on the image.
[0026] Step 2, decompose the image y through non-subsampling Contourlet to obtain a low-frequency image of the same size as the original image and J scales, each scale has D high-frequency images, and the coefficient of the high-frequency image at position l on scale j denoted as n l,j .
[0027] (2.1) Decompose the input image through a non-subsampling pyramid to obtain a low-frequency image and a high-frequency image with the same size as the original image;
[0028] (2.2) Input the high-frequency image into the non-downsampling direction filte...
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