Image de-noising method based on partial differential equation filter

The invention discloses an image de-nosing method based on a partial differential equation filter, mainly solving the problems that the traditional de-nosing method has weaker de-nosing effect and performance. The method comprises the following steps of: (1) inputting a noising image u and calculating a partial derivative of the image u; (2) calculating a gradient modulus absolute Delta of the noising image u; (3) establishing a partial differential equation according to the gradient Delta and the gradient modulus absolute Delta ; (4) calculating a diffusion coefficient and Phi in the partial differential equation; (5) solving the partial differential equation to obtain a filter image by utilizing the coefficient and Phi; (6) calculating the PSNR (Peak Signal to Noise Ratio) of the filter image; and (7) repeating from the step 1 to the step 6. When the PSNR value of the filter image output at some iteration is less than that of the filter image iteratively output at the last time, the iteration is stopped, an