Abstract: A method for producing an assured image acquires image data and segments the image data into one or more spatial regions. One or more quality measures is calculated from the image data that is within the one or more spatial regions. Secure assurance data is produced that is representative of the one or more quality measures and the image data. The secure assurance data is associated with the image data to produce the assured image.

Abstract: A method for calculating a skew angle of an original image, executed at least in part on a computer system stores image data for the original image in an electronic memory, then forms an energy-normalized image according to the relative contrast amplitude of image features over each of a plurality of local image regions within the stored image data. A partitioned image is formed by partitioning the energy-normalized image into a number of sub-regions. A summed region is formed as a combination of image pixel data from the sub-regions. A Fourier magnitude spectrum is obtained by performing a Fourier transform on the summed region. The skew angle is calculated according to the peak value of a radial line integration function that is formed by integrating the Fourier magnitude spectrum along each of a plurality of lines of constant radial angles. An output signal indicates the calculated skew angle.

Abstract: A method for assessing the image quality of image data acquires image data, segments the image data into at least one spatial region, obtains a plurality of image quality measures for the at least one spatial region, and forms at least one quality vector that has two or more quality measures for the at least one spatial region. The at least one quality vector is classified into one of a plurality of predefined quality classes.

Abstract: A method for processing scanned image data, executed at least in part by a computer system, obtains scanned image data, obtains a predetermined image quality profile that has one or more image quality requirement values, and generates processed image data by applying one or more image processing operations to the image data in accordance with a processing script. The method calculates image quality metrics from the processed image data and compares the calculated image quality metrics to the one or more image quality requirement values from the predetermined quality profile. Results of the image quality comparison are displayed.

Abstract: The present invention teaches techniques for creating scans of documents that are both secure from tamper and that are assured of satisfactory image quality. In particular, a method of producing an assured document is disclosed wherein the documents digital signature is combined with the scan quality in a secure way.

Abstract: A method for calculating a skew angle of an original image, executed at least in part on a computer system stores image data for the original image in an electronic memory, then forms an energy-normalized image according to the relative contrast amplitude of image features over each of a plurality of local image regions within the stored image data. A partitioned image is formed by partitioning the energy-normalized image into a number of sub-regions. A summed region is formed as a combination of image pixel data from the sub-regions. A Fourier magnitude spectrum is obtained by performing a Fourier transform on the summed region. The skew angle is calculated according to the peak value of a radial line integration function that is formed by integrating the Fourier magnitude spectrum along each of a plurality of lines of constant radial angles. An output signal indicates the calculated skew angle.