Shearing wave image denoising method based on cutoff window
A truncated window and shear wave technology, applied in the field of image processing, can solve problems such as unsatisfactory denoising effect, inability to effectively extract image edge information, and insufficient edge information retention.
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Embodiment 1
[0078] refer to figure 1 , the present invention is based on the shear wave image denoising method of rectangular cut-off window, comprises the following steps:
[0079] Step 1. Perform discrete Fourier transform DFT(im) on the noisy image im.
[0080] Step 2. Construct the existing shear wave basis function in the frequency domain
[0081] (2.1) Construct the lump function h 1 , the h 1 It must be differentiable from 0 to infinite in the (-2, 2) interval, and 0≤h in (-2, 2) 1 ≤1, h within [-1, 1] 1 = 1, constructed h 1 The expression is as follows:
[0082] h 1 ( ξ ) = e - 28 ( ξ - 1 ) 14 2 ...
Embodiment 2
[0129] refer to figure 1 , the shear wave image denoising method based on the circular truncation window of the present invention comprises the following steps:
[0130] Step A, perform discrete Fourier transform on the noisy image.
[0131] Step B, construct the existing shear wave basis function in the frequency domain
[0132] (B1) Constructing the mass function h 1 , the h 1 To satisfy the differentiability from 0 to infinity in the (-2, 2) interval, and 0≤h in (-2, 2) 1 ≤1, h in [-1, 1] 1 =1, constructed h 1 The expression is as follows:
[0133] h 1 ( ξ ) = e - 28 ( ξ - 1 ) 14 2 14...
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