In order to better preserve the edge features of the image during denoising, and in view of the lack of translation invariance of the Contourlet transform and the shortcomings of the traditional threshold method, a non-subsampled Contourlet transform adaptive threshold (AT-NSCT) image denoising method based on edge detection is proposed. The result can not only eliminate the image distortion caused by the lack of translation invariance of the Contourlet transform, but also effectively preserve the edge information of the image, improve the peak signal-to-noise ratio of the denoised image, and achieve better visual effects.
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