Abstract: An image processing method for conducting anisotropic diffusion filtering on a pixel value Ii,j in a two-dimensional image, comprises: finding conduction coefficients Cn, Cs, Cw, Ce, Cnw, Csw, Cne and Cse in eight surrounding directions for each pixel based on a pixel value gradient ?I to produce a two-dimensional distribution image of the conduction coefficients; and finding pixel value first partial differentials ?nI, ?sI, ?wI, ?eI, ?nwI, ?swI, ?neI and ?seI in the eight surrounding directions for each pixel to calculate a pixel value in an output image according to: ? I i , j n + 1 = ? I i , j m + ? ? [ [ C n · ? n ? I + C s · ? s ? I + C w · ? w ? I + C e · ? e ? I ] + ? 1 2 ? [ C nw · ? nw ? I + C sw · ? sw ? I + C ne · ? ne ? I + C nw · ? nw ? I ] ] i , j n , (n: the number of times of repetition, ?: a constant).

Abstract: An image processing method for conducting anisotropic diffusion filtering on a pixel value Ii,j in a two-dimensional image, comprises: finding conduction coefficients Cn, Cs, Cw, Ce, Cnw, Csw, Cne and Cse in eight surrounding directions for each pixel based on a pixel value gradient ∇I to produce a two-dimensional distribution image of the conduction coefficients; and finding pixel value first partial differentials ∇nI, ∇sI, ∇wI, ∇eI, ∇nwI, ∇swI, ∇neI and ∇seI in the eight surrounding directions for each pixel to calculate a pixel value in an output image according to: 1 I i , j n + 1 = ⁢ I i , j n + λ [ [ C n · ∇   n ⁢ I + C s · ∇   s ⁢ I + C w · ∇   w ⁢ I + C e · ∇   e ⁢ I ] + ⁢ 1 2 ⁡ [ C nw · ∇   nw ⁢ I + C sw · &D