Abstract: In one example in accordance with the present disclosure, a system is described. The system includes a model generator that includes a processor and memory. The model generator obtains an input that indicates a property of a conductive element to be printed and obtains a template which defines a lattice structure for the conductive element. The model generator also generates a latticed conductive element model based on the template and the input. The system also includes a three-dimensional printing controller to trigger selective hardening of build material to form the latticed conductive element.

Abstract: In some examples, a system receives measurement data obtained based on a non-destructive imaging of an identifiable structure within a three-dimensional (3D) object formed using an additive manufacturing machine, the identifiable structure formed based on control of a characteristic of a build material of a first internal object portion relative to a characteristic of the build material in a second internal object portion, the first and second internal object portions being within the 3D object. The system determines, based on the measurement data, a deviation of a physical property of the identifiable structure from a target physical property, and outputs information indicating the deviation.

Abstract: Examples disclosed herein relate to determining image capture position information based on a quasi-periodic pattern. For example, a processor may determine whether a target area is within a captured image based on the detection of a quasi-periodic pattern in a first detection area and in a second detection area of the captured image.

Abstract: Examples disclosed herein relate to determining image capture position information based on a quasi-periodic pattern. For example, a processor may determine whether a target area is within a captured image based on the detection of a quasi-periodic pattern in a first detection area and in a second detection area of the captured image.

Abstract: A forensic verification system extracts a print signature via a print signature extractor from an interior of a halftone contained in an image. The system utilizes a comparator to compare the print signature to a reference signature stored in a registry to determine differences between the print signature and the reference signature. The system utilizes a forensic analyzer to perform a forensic analysis on the signatures based on the comparison to authenticate the image.

Abstract: A forensic verification system extracts a print signature via a print signature extractor from an interior of a halftone contained in an image. The system utilizes a comparator to compare the print signature to a reference signature stored in a registry to determine differences between the print signature and the reference signature. The system utilizes a forensic analyzer to perform a forensic analysis on the signatures based on the comparison to authenticate the image.

Abstract: A method for identifying a pair of genuine red eye artifacts in a captured image includes the steps of determining the presence of a face in the captured image, substantially encompassing the face within a shape, and determining the presence of three or more candidate red eye artifacts within the shape. The method continues with measuring the distance from an edge of the shape to each of the three or more candidate red eye artifacts and identifying, as genuine red eye artifacts, two candidate red eye artifacts of the three or more candidate red eye artifacts that are within a predetermined vertical distance from the edge of the shape.

Abstract: A system and method is disclosed for print production sheet identification. The method discloses: receiving a set of calibration sheets; collecting an array of pixel samples from at least one of the calibration sheets according to a set of pixel sampling rules to generate at least one reference sample array; capturing an image of a set of physical sheets generated from the set of calibration sheets; collecting an array of pixel samples from at least one of the imaged physical sheets according to the set of pixel sampling rules to generate at least one post-processing sample array; and comparing the post-processing sample array to the reference sample array to determine if the two arrays have less than or equal to a predetermined number of differences. The system discloses: a sampling module, operated by a processor, a scanner, and a comparison module, operated by a processor.

Abstract: A method of correcting an artifact in a captured image includes generating a binary map that corresponds to the artifact in the captured image. The method also includes generating a luminance mask from the binary map, the luminance mask applying a level of correction near an edge of the artifact that is different from a level of correction applied at the center of the artifact and generating, a chrominance mask to correct a color of the artifact. The method further includes performing corrections to pixels according to the luminance and the chrominance masks.

Abstract: A method involving generating a pixel map of a digital image, scanning the pixel map and labeling a found red pixel, where each row of the pixel map is scanned for a red pixel, where a coordinate of each labeled red pixel is stored and compared to surrounding red pixels, arranging found labeled red pixels with previously found labeled red pixels that have a corresponding y-axis coordinate thereby creating a contiguous group, determining if the contiguous group is a red-eye artifact, and creating a list of coordinates that denote red-eye artifacts within the digital image.

Abstract: A method for identifying a pair of genuine red eye artifacts in a captured image includes the steps of determining the presence of a face in the captured image, substantially encompassing the face within a shape, and determining the presence of three or more candidate red eye artifacts within the shape. The method continues with measuring the distance from an edge of the shape to each of the three or more candidate red eye artifacts and identifying, as genuine red eye artifacts, two candidate red eye artifacts of the three or more candidate red eye artifacts that are within a predetermined vertical distance from the edge of the shape.

Abstract: A method of correcting an artifact in a captured image includes generating a binary map that corresponds to the artifact in the captured image. The method also includes generating a luminance mask from the binary map, the luminance mask applying a level of correction near an edge of the artifact that is different from a level of correction applied at the center of the artifact and generating, a chrominance mask to correct a color of the artifact. The method further includes performing corrections to pixels according to the luminance and the chrominance masks.

Abstract: A method involving generating a pixel map of a digital image, scanning the pixel map and labeling a found red pixel, where each row of the pixel map is scanned for a red pixel, where a coordinate of each labeled red pixel is stored and compared to surrounding red pixels, arranging found labeled red pixels with previously found labeled red pixels that have a corresponding y-axis coordinate thereby creating a contiguous group, determining if the contiguous group is a red-eye artifact, and creating a list of coordinates that denote red-eye artifacts within the digital image.

Abstract: A system and method is disclosed for print production sheet identification. The method discloses: receiving a set of calibration sheets; collecting an array of pixel samples from at least one of the calibration sheets according to a set of pixel sampling rules to generate at least one reference sample array; capturing an image of a set of physical sheets generated from the set of calibration sheets; collecting an array of pixel samples from at least one of the imaged physical sheets according to the set of pixel sampling rules to generate at least one post-processing sample array; and comparing the post-processing sample array to the reference sample array to determine if the two arrays have less than or equal to a predetermined number of differences. The system discloses: a sampling module, operated by a processor, a scanner, and a comparison module, operated by a processor.

Abstract: Red-eye correction on a region of a digital image includes adjusting defect luminance of the region in a perceptually-derived manner.