Abstract: Comparing extracted card data from a continuous scan comprises receiving, by one or more computing devices, a digital scan of a card; obtaining a plurality of images of the card from the digital scan of the physical card; performing an optical character recognition algorithm on each of the plurality of images; comparing results of the application of the optical character recognition algorithm for each of the plurality of images; determining if a configured threshold of the results for each of the plurality of images match each other; and verifying the results when the results for each of the plurality of images match each other. Threshold confidence level for the extracted card data can be employed to determine the accuracy of the extraction. Data is further extracted from blended images and three-dimensional models of the card. Embossed text and holograms in the images may be used to prevent fraud.

Abstract: An image segmenting method includes: reading (202) an image, determining (232) a solution to the problem of maximum flow in a graph including, on the one hand, as vertices, a source, a sink and image points, with each point being assigned a capacity, called a through-capacity, assigning (234), on the basis of the determined solution, a label to each of at least some of the points of the image, and recording the image with the assigned labels in a computer memory. In addition, before determining a solution to the problem of maximum flow, the method includes: determining (212) critical points, for each of which, the points of the image located in a predetermined window applied around the critical point verify a predetermined condition on their through-capacities. The points of the graph include the determined critical points and the inter-point arcs link the neighboring critical points to one another.

Abstract: Systems and methods are disclosed for determining the location where an image was captured. In general, a device such as a smartphone may capture one or more images from a location, such as images of buildings, street signs and the like, and a central system may compare the submitted images to images in an image library to identify matches. The location of the match may then be provided back to the smartphone.

Abstract: A normal-phase candidate position selection unit designates a pixel on a horizontal or vertical line in a position separated by two lines from a target position of an input image as a normal-phase candidate pixel, which is a candidate for a pixel at which jaggies are in the same phase as a pixel of the target position. A reverse-phase candidate position selection unit designates a pixel between the target position in the input image and the normal-phase candidate pixel as a reverse-phase candidate pixel. The weight value calculation unit calculates a weight value based on a degree of similarity between an image adjacent to the target position and an image adjacent to the normal-phase candidate pixel. The weighted expected value calculation unit performs weighted addition of reverse-phase candidate pixels using the weight value and generates a reverse-phase image by reversing only the phase of the jaggies in the input image.

Abstract: An improved method of high accuracy beam placement for local area navigation in the field of semiconductor chip manufacturing. Preferred embodiments of the present invention can also be used to rapidly navigate to one single bit cell in a memory array or similar structure, for example to characterize or correct a defect in that individual bit cell. High-resolution scanning is used to scan only a “strip” of cells on the one edge of the array (along either the X axis and the Y axis) to locate a row containing the desired cell followed by a similar high-speed scan along the located row (in the remaining direction) until the desired cell location is reached. This allows pattern-recognition tools to be used to automatically “count” the cells necessary to navigate to the desired cell, without the large expenditure of time required to image the entire array.

Abstract: A method and an apparatus for correlating two image sequences of a periodically moving object with respect to the periodicity is described. A first frame sequence of the object moving with the first periodicity is acquired. Therein the first frame sequence comprises at least one cycle of motion. A second frame sequence of the object moving with the second periodicity is acquired. Therein the second frame sequence comprises at least one cycle of motion. The first and the second frame sequences are synchronized with respect to the respective periodicity such that same phases of motion of the periodically moving object are correlated to be presented simultaneously. The present invention allows to compare sequences representing a periodical motion with a different number of frames in each of the sequences for the same cycle of motion. Thereby, e.g. image sequences of a beating heart acquired before and after a therapy may be presented in a synchronized way and therefore may be easily compared.

Abstract: A system for processing a multiband image, including digital computer memory for storing a multiband image having multiple bands of image data; and processing circuitry for processing the multiband image, wherein the processing circuitry (a) determines pixel locations in the bands of the multiband image having values above the band-specific white value threshold for each of the bands of the multiband image, (b) determines a band-specific correction factor for each of plural bands of the multiband image based on the determined pixel locations, and (c) applies the corresponding band-specific correction factor to the respective plural bands of the multiband image to produce a corrected image.

Abstract: An image processing system is provided that includes: an image data storage section that stores image data of a consecutive plurality of frames; a display section that displays image data that is stored; a region-of-interest setting section that sets a region of interest in the displayed image data; a change amount detection section that, with respect to the region of interest that is set, compares image data of adjacent frames stored in the image data storage section and detects a change amount therebetween; a change determination section that determines whether the detected change amount exceeds a predetermined threshold value; and an index storage section that stores image data of a frame that is determined to exceed the predetermined threshold value by the change determination section as an index.

Abstract: An embodiment is configured to calculate a perceptual masking factor at a pixel location at a block boundary of the image, calculate a parameter for a filter at the pixel location at the block boundary, and filter the image around the pixel location at the block boundary employing the filter with the calculated parameter. The perceptual masking factor is formed as a product of a background activity masking map and a luminance masking map. The filter includes a parameter that is selected in view of a quality of experience performance measure for the image at the pixel location at the block boundary of the image.

Abstract: A system and method of detecting duplicate document content in a large document collection and automatically highlighting duplicate or different document content among the detected document content using two-dimensional visual fingerprints.

Abstract: Embodiments of the invention disclose techniques for processing of machine-readable forms of unfixed or flexible format. An auxiliary brief description may be optionally specified to determine the spatial orientation of the image. A method of searching for elements of a document comprises the following main operations in addition to the operations of preliminary image processing: selecting the varieties of structural description from several available variants, determining the orientation of the image, selecting the text objects, where the text must be recognized, and determining the minimal required volume of recognition, recognizing the text objects, searching for elements of the form. Searching for elements of the form comprises the following actions: selecting a searched element in the structural description, gaining the algorithm of search constraints from the structural description, searching for the element, testing the obtained variants.

Abstract: A method includes identifying an area in an image that is associated with strong directional energy. The method further includes determining a first estimate of signal energy for the area and a second estimate of aliasing energy for the area. The method further includes estimating a severity of an aliasing error of the image based on the first estimate and the second estimate.

Abstract: In certain embodiments, to eliminate DC leakage into surrounding AC values, scaling stage within a photo overlap transform operator is modified such that the off-diagonal elements of the associated scaling matrix have the values of 0. In certain embodiments, the on-diagonal scaling matrix are given the values (0.5, 2). In some embodiments, the scaling is performed using a combination of reversible modulo arithmetic and lifting steps. In yet other embodiments, amount of DC leakage is estimated at the encoder, and preprocessing occurs to mitigate amount of leakage, with the bitstream signaling that preprocessing has occurred. A decoder may then read the signal and use the information to mitigate DC leakage.

Abstract: Embodiments of the present invention disclose a copying method that combines optical character recognition (OCR) technology and a search in order to improve the quality of a copy despite the presence of degrading factors. In one embodiment, the search comprises an Internet search and is used to reconstruct/enhance the copy digitally before outputting the copy to print or some other digital medium. Advantageously, a copy produced using the techniques of the present invention may be at least equal to if not better than the original document copied.

Abstract: Aspects of the disclosure provide a method for video frame rotation. The method includes receiving a first tile from among a plurality of tiles forming a video frame. The first tile includes a first plurality of macro pixels where each macro pixel interleaves at least one pair of neighboring pixels in a first orientation. Further, the method includes de-interleaving the first plurality of macro pixels into first pixels, mapping the first pixels into first rotated neighboring pixels in a second orientation, and interleaving the first rotated neighboring pixels into first rotated macro pixels forming a first rotated tile.

Abstract: A method for displaying a segmented two-dimensional (2D) image includes obtaining a three-dimensional (3D) volume dataset corresponding to an imaged volume along a viewing plane, segmenting an object of interest within 3D volume to generate a plurality of segmented two-dimensional (2D) images along the viewing plane, selecting a reference image for viewing from the plurality of segmented 2D images, and displaying the reference image, the reference image having a first segmentation boundary drawn around the object of interest and a second segmentation boundary drawn around the object of interest, the first segmentation boundary being derived from the segmentation performed on the reference image and the second segmentation boundary being derived from the segmentation performed on at least one non-reference image of the plurality of segmented 2D images.

Abstract: A system and method for correcting image data. Embodiments of the present invention provide image correction to overcome various lens effects, optical crosstalk, and electrical crosstalk. In one embodiment, the method includes accessing, within an electronic system, a plurality of control points for a patch of a spline surface and calculating a plurality of intermediate control points corresponding to a row of pixels of the patch. The method further includes receiving a pixel of an image and correcting the pixel based on the plurality of intermediate control points in streaming scanline column-wise or row-wise order.

Abstract: An image reconstruction method includes receiving volume data comprising a plurality of sampling points, determining a first conditioning of the sampling points suppressing low amplitudes and conserving maximum amplitudes, determining a second conditioning of the sampling points wherein an influence of a sampling point depends on its distance to a grid point in a sampling grid, determining a kernel comprising a plurality of weighting functions for the first conditioning and the second conditioning to determine an energy spread of each of the plurality of sampling points without determining a shape or size of the kernel, and outputting a reconstructed volume according to the energy spread of each of the plurality of sampling points.

Abstract: An image processing apparatus includes: a noise reduction processing amount calculator configured to calculate a noise reduction processing amount based on input image data and previous-frame output image data subjected to data compression/decompression processing; a feedback ratio correction unit configured, based on compression error information, to output the uncorrected noise reduction processing amount calculated by the noise reduction processing amount calculator with regard to a pixel having a noise reduction feedback ratio less than 100%, and to correct the noise reduction processing amount with regard to a pixel having a noise reduction feedback ratio of 100% or more such that the feedback ratio is less than 100%, and to output the corrected noise reduction processing amount; and an adder configured to add the noise reduction processing amount output from the feedback ratio correction unit to the input image data to thereby obtain output image data.

Abstract: An image processing device that accumulatively generates a synthetic image by joining a first image, which is a single image or is constituted by a plurality of the images joined together, and a second image that is input, every time when the second image is input, the device comprising: a center-position obtainment portion (11) that obtains position information on a first center point being a center point of each of the images constituting the first image and position information on a second center point being a center point of the second image; and a synthetic image generation portion (12) that obtains the first center point of an image overlapping the second image among the images constituting the first image, and that joins the first image and the second image to generate the synthetic image, using perpendicular bisectors between the obtained first center points and the second center point as a joint between the first image and the second image, based on the obtained position information on the first cent