Beta algorithm-based multiscale SAR (Synthetic Aperture Radar) image denoising method
An image noise reduction and multi-scale technology, applied in the field of SAR image noise reduction, can solve the problem of not keeping image edge information well, and achieve the effect of avoiding pseudo-Gibbs effect, ensuring integrity, and removing noise
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[0027] refer to figure 1 , the specific implementation steps of the present invention are as follows:
[0028] Step 1: Perform pixel classification on the SAR image I to be denoised to obtain edge image A, texture image B and homogeneous image C.
[0029] (1a) Input the SAR image I to be denoised, calculate the local variance map variance of the SAR image I to be denoised according to formula 1, and draw the local variance map variance histogram,
[0030] variance ( i , j ) = Σ ( y [ i , j ] y ‾ [ m ...
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