Spot image processing algorithm based on multi-scale wavelet transformation
A technology of wavelet transform and spot image, applied in image data processing, image enhancement, calculation, etc., can solve the problem of pixel space resolution reduction, achieve good visual effect, retain edge information, and good denoising effect
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[0022] Hereinafter, the present invention will be described in more detail with examples in conjunction with the accompanying drawings:
[0023] Combine figure 1 , figure 1 It is a flow chart of a speckle image processing algorithm based on multi-scale wavelet transform. A speckle image processing algorithm based on multi-scale wavelet transform, including the following steps:
[0024] 1. Perform logarithmic transformation on the original image to convert the image multiplicative noise into additive noise;
[0025] 2. Perform multi-scale wavelet decomposition on the image after logarithmic transformation;
[0026] 3. Select the threshold and perform threshold processing on the wavelet coefficients;
[0027] 4. Reconstruction of wavelet coefficients;
[0028] 5. Perform exponential calculation to get the denoised image.
[0029] In the wavelet transform speckle image processing algorithm, the threshold selection method in step 3 is:
[0030] (1),
[0031] In formula (1), Is the variance o...
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