| 摘要 |
A method for automatically classifying a printed image, includes scanning the printed image; selecting an n by n block of pixels from the scanned image; calculating an array of DCT coefficients of the pixel block, wherein the array of calculated DCT coefficients are representative of spatial frequency and spatial orientation of the pixel block; comparing the DCT coefficients with an array of predetermined values, wherein the array of predetermined values are indicative of different image marking processes used to produce printed images; and determining an image marking process used to create the printed image based on the comparison of the DCT coefficients with the array of predetermined values. The array of DCT coefficients may be sampled into a feature set and the feature set provided to a neural network to output the determined image marking process.
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