Image denoising method based on improved bilateral filtering
A bilateral filtering and image technology, applied in the field of image denoising, can solve the problems of poor noise removal effect in smooth area, steep GM function curve, etc.
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[0045] The present invention will be described in detail below with reference to the drawings and specific embodiments. This embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation mode and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.
[0046] Such as figure 1 As shown, an image denoising method based on improved bilateral filtering first uses the Wiener function to estimate the gray value of the neighborhood center pixel on the input noisy image, then uses the GM function to calculate the brightness similarity weight, and uses Gaussian weights calculate the spatial proximity weights, multiply the calculated two weights to denoise the image, as follows:
[0047] Step S1: Wiener filtering is performed on the original image I, i∈I, v(i) is the pixel value of the original image, and the gray value of each pixel is estimated by the W...
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