Automated quality assurance image processing system
First Claim
1. An image processing system for automated quality control of converting optical images into corresponding digital data, said system comprising:
- (a) sensing means for discriminating digital sensor signals corresponding to an image differential density of an image having a number of black bits (b) said digital sensor signals having a fill factor;
(b) means for generating a quality quotient of black bits (b)/compressed bits (c);
(c) compressing means for compressing said digital sensor signals to generate compressed signals, said compressed signals comprising (c) bits per image and defining a compression ratio, wherein a product of said compression ratio and said fill factor which is equal to a quality quotient of b/c, said quotient being related to resolution and quality of information rather than quantity of information in said image; and
(d) quality assurance means coupled to said sensing means and said compressing means for generating a quality assurance parameter dependent on said fill factor and said compression ratio, said quality assurance parameter being indicative of the quality of said image.
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Abstract
An image processing system with a quality assurance feature is disclosed for determining the quality of the images being processed. The system includes a plurality of sections operating independently and concurrently to insure reliability. One section includes calculation of a quality assurance parameter dependent on the fill factor and the compression ratio determined before and after compression respectively. A second section includes histogram hardware for generating qualified histograms representative of foreground data, and background data transitions and a comparator for detecting overlap therebetween. A third section develops a histogram parameter based on the areas of the histograms and compares this parameter to the quality assurance parameter for concurrence. The system also includes autosizing means for detecting the borders of an image using fuzzy logic.
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Citations
11 Claims
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1. An image processing system for automated quality control of converting optical images into corresponding digital data, said system comprising:
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(a) sensing means for discriminating digital sensor signals corresponding to an image differential density of an image having a number of black bits (b) said digital sensor signals having a fill factor; (b) means for generating a quality quotient of black bits (b)/compressed bits (c); (c) compressing means for compressing said digital sensor signals to generate compressed signals, said compressed signals comprising (c) bits per image and defining a compression ratio, wherein a product of said compression ratio and said fill factor which is equal to a quality quotient of b/c, said quotient being related to resolution and quality of information rather than quantity of information in said image; and (d) quality assurance means coupled to said sensing means and said compressing means for generating a quality assurance parameter dependent on said fill factor and said compression ratio, said quality assurance parameter being indicative of the quality of said image. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. An image processing system for automated quality control of converting optical images into corresponding digital data, said system comprising:
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(a) sensing means for discriminating digital sensor signals corresponding to an image differential density of an image of black bits (b) said digital sensor signals having a fill factor; (b) compressing means for compressing said digital sensor signals to generate compressed signals, said compressed signals comprising (c) bits per image and defining compression ratio, wherein a product of said compression ratio and said fill factor which is equal to a quality quotient of b/c, said quality quotient being related to resolution and quality of information rather than quantity of information in said image; (c) histogram hardware means coupled to said compression means for generating histograms corresponding to said image, and histogram analyzer means for analyzing said histograms wherein said histogram hardware means includes means for deconvolving a video histogram representative of an image into a plurality of qualified histograms representative respectively of background data, foreground data, and signal isolated pixel noise and edge transitions; and (d) means for verifying a quality assurance parameter based upon comparable data from the histograms. - View Dependent Claims (10, 11)
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Specification