Image noise detection and denoising method based on Hessian matrix
An image pixel and matrix technology, applied in the field of image processing, can solve the problems of median filter processing noise effect not reaching, fuzzy image edges, thin lines and other important details, so as to reduce mean square error, protect details and The effect of edges, good peak signal-to-noise ratio
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[0053] The technical solution of this patent will be further described in detail below in conjunction with specific embodiments.
[0054] see Figure 1-5 , a Hessian matrix-based image noise detection and denoising method, comprising the following steps:
[0055] 1) By first establishing the noise model, the theoretical model of salt and pepper noise is formula (1):
[0056]
[0057] Among them, φ is the probability that the image pixel is polluted by salt and pepper noise, and f(x, y), g(x, y) are the gray values of the original image and the contaminated image pixel respectively; from formula (1), we can see that Salt and pepper noise will only pollute some pixels in the image, while the gray values of other pixels remain unchanged.
[0058] Then use the Hessian matrix characteristics of the noise point to detect the noise point, analyze the image L and use the method of formula (2) to carry out Taylor expansion in its neighborhood:
[0059]
[0060] in h o,s r...
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