A thresholded image denoising method based on non-subsampled contourlet transform
A non-subsampling, image technology, applied in the field of thresholding image denoising based on non-subsampling Contourlet transform, can solve problems such as interference, Contourlet transform has no translation invariance, affects image quality, etc., and achieves high peak signal-to-noise ratio, The image edge and texture details are clear, and the effect of improving the denoising effect
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[0045] Below in conjunction with accompanying drawing, technical scheme is described in detail:
[0046] Such as figure 1As shown, the thresholded image denoising method based on non-subsampling Contourlet transform provided by the present invention specifically includes the following steps:
[0047] Step 1: Select the test object, add Gaussian noise, and get the noise image;
[0048] Step 2: Build a model for NSCT of noisy images: in, Respectively represent the noisy image, the original image and the noise after NSCT, when the scale is k, the coefficient in the j-th direction, k=0,1,...,K-1; j=0,1,...J-1, K is NSCT The total number of scales for decomposition, J is the number of directions for decomposition at the kth layer. Perform a three-layer non-subsampling Contourlet transform on the noisy image. According to the order of the scale from coarse to fine, the number of direction subbands is 8, 8, and 16, and the subband coefficients on the kth scale and jth direction...
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