Abstract: In an embodiment, a method of digital image processing is provided wherein the method includes the actions of (i) segmenting a data set of an image to be processed, based on predetermined conditions (ii) generating a maximum intensity projection of the segmented data set (iii) closing-by-reconstruction of said data set in parallel to action (ii) (iv) combining the result of action (i) with result of action (iii) by a logical AND function, and (v) replacing pixels of undesired intensity in result of action (ii) by pixels of desired intensity from result of action (iv).

Abstract: The present invention provides a system, method and computer program product for improving quality of images. The pixels of the input image are used to generate two lists of pixels based on two different scale space values. Thereafter, the two pixels lists are processed to obtain an output image with improved quality.

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: In an embodiment, a method of digital image processing is provided wherein the method includes the actions of (i) segmenting a data set of an image to be processed, based on predetermined conditions (ii) generating a maximum intensity projection of the segmented data set (iii) closing-by-reconstruction of said data set in parallel to action (ii) (iv) combining the result of action (i) with result of action (iii) by a logical AND function, and (v) replacing pixels of undesired intensity in result of action (ii) by pixels of desired intensity from result of action (iv).

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