A digital image interpolation method is disclosed which a projection point (x, y) of the original image corresponding to a pixel of the transformed image first is determined. According to neighboring pixels (m, n) of the projection point, Gauss weights W.sub.i then are determined. Lastly, according to the Gauss weights Wi and the corresponding color value Vi of the neighboring pixels, a color value f (x, y) of the projection point is computed. Via an interpolation method using Gauss weight, the computation time is reduced while qualitatively improving the image processing.

 
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> Method, apparatus, computer program, computer system and computer-readable storage for representing and searching for an object in an image

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