Abstract: The invention relates to an imaging apparatus (1). First and second image providing units (2, 9) provide a first image showing a region of an object, which includes a resection part to be resected, and a second image showing the region of the object, after the resection procedure has been performed, or showing a resected part, which has been resected. A smallest margin determination unit (13) determines a smallest margin region being a region where a margin between the resection part and the resected part is smallest based on the first and second images. The smallest margin region is the region which most likely contains a part of the object, which should have been resected, like a cancerous part. An optionally following investigation of the resected part or of the remaining object can be more focused by considering this region, thereby allowing for faster corresponding assessing procedures.

Abstract: Low spatial frequencies of an original image and an upscaled filtered image are analyzed. Differences will be observed in the low frequency components of the two images in the general case since the pixel art upscaler filter as a side effect introduces low frequency changes. A modification to images produced by the PAU is applied to attempt to match the brightness of the original images in the low frequency spectrum. From a viewer perspective (e.g., based on typical blurring visual effects), the original image and the modified filtered image will look the same—demonstrating that there is no low frequency brightness creep or resulting increased photosensitivity concerns.

Abstract: Techniques for image sensor pixel correction are described. In one embodiment, for example, an apparatus may comprise a processor circuit and an imaging management module, and the imaging management module may be operable by the processor circuit to determine an intensity value for a pixel in an image sensor pixel array, determine a pixel intensity deviation for the pixel comprising a difference between the intensity value for the pixel and a composite intensity value for a pixel neighborhood of the pixel, determine a pixel correction threshold for the pixel, and when the pixel intensity deviation exceeds the pixel correction threshold, determine a corrected intensity value for the pixel. Other embodiments are described and claimed.

Abstract: A plurality of anchor points at which a curve to be estimated passes sequentially through are set. Four anchor points which are successional are selected from the plurality of anchor points. First and second control points are set based on the selected anchor points. Quadratic Bezier curves connecting between the selected anchor points are calculated based on the selected anchor points and the first or second control point. Coordinate values of the curve to be estimated are estimated based on the quadratic Bezier curves.

Abstract: An image processing method and apparatus are provided. The image processing method may include determining whether stereoscopic objects that are included in an image pair and that correspond to each other are aligned on the same horizontal line. The method includes determining whether the image pair includes target objects having different geometric features from those of the stereoscopic objects if the stereoscopic objects are not aligned on the same horizontal line. The method includes performing image processing differently for the stereoscopic objects and for the target objects if the image pair includes the target objects.

Abstract: Disclosed are a system, apparatus, and method for depth camera image re-mapping. A depth camera image from a depth camera may be received and a depth camera's physical position may be determined. The depth camera's physical position may be determined relative to an other physical position, such as the physical position of a color camera. The depth camera image may be transformed according to a processing order associated with the other physical position.

Abstract: Noise of a CT image is reduced with good accuracy by using noise information obtained from the CT image. An X-ray CT apparatus comprises a successive approximate reconstruction part that reconstructs a CT image for a reconstruction area of an imaging object from measured projection data obtained by an X-ray detection part of the X-ray CT apparatus, and successively corrects the CT image so that calculated projection data obtained by forward projection of the CT image performed by calculation and the measured projection data detected by the X-ray detection part become equal to each other. The successive approximate reconstruction part comprises a noise measurement part that calculates noise intensity in the CT image at least for a predetermined region of interest, and successively corrects the CT image of the region of interest by using the calculated noise intensity.

Abstract: A display assembly includes a display console displaying at least one image on an image plane. The image is divided into a plurality of pixels. A controller is operatively connected to the display console and includes a processor and tangible, non-transitory memory on which is recorded instructions for executing a method for dynamically adjusting the image in real-time for off-axis viewing. The controller is programmed to generate a compensation-over-viewing-angle map which includes respective compensation factors for each of the plurality of pixels for multiple viewing positions. In one embodiment, the controller is programmed to apply separate respective compensation factors for the instantaneous viewing positions of a first user at a time j and a second user at a time k. In another embodiment, the controller is programmed to apply first and second compensation factors simultaneously at a time m, for a first image and a second image, respectively.

Abstract: A key identification system is provided. The key identification system comprises an imaging system to capture an image of a master key, and a logic to analyze the captured image. The imaging system may be capture an image of a groove in the master key from an angle between perpendicular and parallel to the blade of said master key. The logic analyzes the captured image to compare characteristics of the groove with groove characteristics of known key blanks to determine the likelihood of a match between the master key and a known key blank. The key identification system may further compensate for displacement or orientation of the master key with respect to the imaging system when analyzing characteristics of the groove.

Abstract: Systems and methods are provided for providing user assistance on a mobile device. For example, a method may include receiving a first image of a screen captured on a mobile device, determining key content in the first image by performing recognition on the first image, and using the key content as a query to an index that associates key items with screen capture images previously received from the mobile device. The method may further include determining that a search result of the query includes at least one key item with a rank that exceeds a relevancy threshold, determining a portion of a second image from the screen capture images that is associated with the at least one key item, generating annotation data that includes the portion of the second image, and providing the annotation data for display with the screen on the mobile device.

Abstract: The current document is directed to methods and systems for identifying symbols corresponding to symbol images in a scanned-document image or other text-containing image, with the symbols corresponding to Chinese or Japanese characters, to Korean morpho-syllabic blocks, or to symbols of other languages that use a large number of symbols for writing and printing. In one implementation, the methods and systems to which the current document is directed carry out an initial processing step on one or more scanned images to identify a subset of the total number of symbols frequently used in the scanned document image or images. One or more lists of graphemes for the language of the text are then ordered in most-likely-occurring to least-likely-occurring order to facilitate a second optical-character-recognition step in which symbol images extracted from the one or more scanned-document images are associated with one or more graphemes most likely to correspond to the scanned symbol image.

Abstract: A method for pull frame interpolation includes receiving an encoded bitstream including information representing a plurality of frames of video data, decoding the plurality of frames, including identifying a plurality of motion vectors indicating motion from a first frame of the plurality of video frames to a second frame of the plurality of video frames, identifying an interpolation point between the first frame and the second frame, identifying a plurality of candidate interpolation motion vectors indicating motion from the first frame to the interpolation point and from the second frame to the interpolation point based on the plurality of motion vectors, selecting an interpolation motion vector from the plurality of candidate interpolation motion vectors based on a metric, and generating an interpolated frame at the interpolation point based on the selected interpolation motion vector, which may include correcting an artifact in the interpolated frame by blending the interpolated frame.

Abstract: In embodiments the invention provides methods and systems for improved monitoring of roadways and related resources. The methods employ frugal devices such as remote webcams, and provide methods for improving the quality and usefulness of the data obtained from such devices.

Abstract: An image analysis unit of an image processing apparatus acquires a distribution condition of feature points in an entire input image and in each of a plurality of small regions in the input image. A target point number setting unit sets a target point number for each small region based on the distribution condition of feature points in the entire input image. An expected point number setting unit sets an expected point number for each small region based on the distribution condition of feature points in the small region. A comparison unit compares the target point number and the expected point number. A sensitivity setting unit sets detection sensitivity based on the comparison result. A feature point detection unit performs feature point detection according to the detection sensitivity.

Abstract: A method and apparatus is provided to denoise material-decomposition data generated using projection data from a spectral computed tomography scanner. A whitening transform is used to transform the material-decomposition data into uncorrelated components and perform denoising on the uncorrelated components. Using different denoising parameters for the various uncorrelated components, a flattening can be achieved for the standard deviation of the noise as a function of X-ray energy, which can be determined using mono-energetic images derived from the material-decomposition data. The whitening transformation and the denoising can be applied the material-decomposition sinograms and/or to material-decomposition images reconstructed from the material-decomposition sinograms.

Abstract: Various embodiments herein each include at least one of systems, methods, and software that assists in identification of a source of an unauthorized disclosure of a document, such as a public disclosure of check, receipt, or other document type. One method embodiment includes receiving a request for a stored document image from a requestor and retrieving the requested stored document image. This method may then apply a parameterized image deformation algorithm according to at least one input parameter to generate a watermarked image and then stores the at least one parameter and an identifier of the requestor in association with an identifier of the requested stored document in a watermarked image log. The watermarked image is then transmitted to the requestor.

Abstract: The present invention provides a method for removing a haze in a single image. In the present invention, a transmission is estimated by using a dark channel prior obtained from a hazy input image. The estimated transmission includes a block artifact. In an exemplary embodiment of the present invention, in order to preserve an edge and remove the block artifact, a refined transmission value is obtained by performing WLS filtering by using an estimated transmission value and a morphologically-processed input image, the image is restored based on the refined transmission value, and then multi-scale tone manipulation image processing is performed.

Abstract: There is provided an image processing device including a spatial frequency characteristic adjusting unit configured to perform an adjustment on at least one of first image data corresponding to a first image and second image data corresponding to a second image to match a spatial frequency characteristic of the first image data with a spatial frequency characteristic of the second image data, the second image having an overlapping area that overlaps with an overlapping area of the first image, and an image processing unit configured to perform a process using the first image data and the second image data, on at least one of which the adjustment has been performed in the spatial frequency characteristic adjusting unit.

Abstract: An iris biometric recognition module includes technology for capturing images of an iris of an eye of a person, whether the person is moving or stationary, and whether the person is located near the iris image capture device or at a distance from the iris image capture device. The iris biometric recognition technology can perform an iris matching procedure for, e.g., authentication or identity verification purposes. The iris biometric recognition module can be incorporated into, for example, a door lock assembly and other access controlled devices, mechanisms, and systems.

Abstract: An iris biometric recognition module includes technology for capturing images of an iris of an eye of a person, whether the person is moving or stationary, and whether the person is located near the iris image capture device or at a distance from the iris image capture device. The iris biometric recognition technology can perform an iris matching procedure for, e.g., authentication or identity verification purposes. The iris biometric recognition module can be incorporated into, for example, a door lock assembly and other access controlled devices, mechanisms, and systems.