Deconvolution of digital images
First Claim
1. A method of indirectly decoding a barcode comprises:
- obtaining an image of a barcode using an optical sensor in a mobile computing device, the image comprising barcode marks and textual characters;
recognizing distorted text within the image by performing optical character recognition on the distorted text to produce an optically recognized textual character;
comparing the optically recognized textual character with the distorted text from which the optically recognized character was recognized to produce a degrading function; and
deconvolving the degrading function from at least a portion of the image to improve the image quality.
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Abstract
A method for deconvolution of digital images includes obtaining a degraded image from a digital sensor, a processor accepting output from the digital sensor and recognizing a distorted element within the image. The distorted element is compared with a true shape of the element to produce a degrading function. The degrading function is deconvolved from at least a portion of the image to improve image quality of the image. A method of indirectly decoding a barcode includes obtaining an image of a barcode using an optical sensor in a mobile computing device, the image comprising barcode marks and a textual character. The textual character is optically recognized and an image degrading characteristic is identified from the textual character. Compensating for the image degrading characteristic renders previously undecodable barcode marks decodable. A system for deconvolution of digital images is also included.
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Citations
13 Claims
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1. A method of indirectly decoding a barcode comprises:
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obtaining an image of a barcode using an optical sensor in a mobile computing device, the image comprising barcode marks and textual characters; recognizing distorted text within the image by performing optical character recognition on the distorted text to produce an optically recognized textual character; comparing the optically recognized textual character with the distorted text from which the optically recognized character was recognized to produce a degrading function; and deconvolving the degrading function from at least a portion of the image to improve the image quality. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A system for deconvolution of digital images comprising:
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an optical sensor for acquiring an image of a scene; an element identification module for identification of distorted text within the image using optical character recognition on the distorted text to produce an optically recognized character; a degrading function calculation module for calculating a degrading function from the difference between portions of the image which contain the distorted text and corresponding undistorted text; and a deconvolution module for deconvolving the degrading function from at least a portion of the image and outputting an enhanced image. - View Dependent Claims (8)
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9. A computer program product for image enhancement by deconvolution, the computer program product comprising:
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a non-transitory computer readable storage medium having computer readable program code embodied therewith, the computer readable program code comprising; computer readable program code configured to recognize distorted text within a degraded image by performing optical character recognition on the distorted text to produce an optically recognized character; computer readable program code configured to then compare the optically recognized character with the distorted text from which the optically recognized character was recognized to produce a degrading function; and computer readable program code configured to deconvolve the degrading function from at least a portion of the image to improve the image quality. - View Dependent Claims (10, 11, 12, 13)
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Specification