METHOD FOR AUTOMATICALLY DETERMINING THE ACCEPTABILITY OF A DIGITAL IMAGE
First Claim
1. A method for automatically determining the acceptability of an input digital image for a printing operation, said method comprising the steps of:
- (a) forming a low resolution analysis image from the input digital image;
(b) detecting edge pixels representing edges in the low resolution analysis image;
(c) obtaining an edge map of the edge pixels in the low resolution analysis image;
(d) dividing the edge map into a plurality of blocks, where each block may contain edge pixels from the edge map;
(e) identifying two or more blocks having the largest number of edge pixels;
(f) obtaining from the input image two or more important areas in the input image that correspond to the two or more blocks identified in step (e);
(g) calculating a salient acceptability feature based upon edge occurrence in each of the important areas;
(h) calculating a statistical measure of edge occurrence from the salient acceptability features calculated in step (g); and
(i) using the statistical measure of edge occurrence to determine the acceptability of the digital input image for printing.
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Abstract
A method for automatically determining the acceptability of an input image for a predetermined output operation, such as printing, includes the steps of: (a) identifying one or more important areas in the input image; (b) calculating a salient acceptability feature for each of the important areas; (c) determining the acceptability of the input image from the salient acceptability features of the important areas; and (d) implementing the predetermined output operation based on the acceptability of the input image determined in step (c).
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Citations
5 Claims
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1. A method for automatically determining the acceptability of an input digital image for a printing operation, said method comprising the steps of:
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(a) forming a low resolution analysis image from the input digital image; (b) detecting edge pixels representing edges in the low resolution analysis image; (c) obtaining an edge map of the edge pixels in the low resolution analysis image; (d) dividing the edge map into a plurality of blocks, where each block may contain edge pixels from the edge map; (e) identifying two or more blocks having the largest number of edge pixels; (f) obtaining from the input image two or more important areas in the input image that correspond to the two or more blocks identified in step (e); (g) calculating a salient acceptability feature based upon edge occurrence in each of the important areas; (h) calculating a statistical measure of edge occurrence from the salient acceptability features calculated in step (g); and (i) using the statistical measure of edge occurrence to determine the acceptability of the digital input image for printing. - View Dependent Claims (2, 3, 4, 5)
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Specification