Abstract: Image scaling disclosed herein comprises receiving an image from an image capturing device and partitioning an image into at least one image tile using a partitioning module. A determination is made if the image tile requires slow scan scaling and/or fast scan scaling. The image tile is subject to slow scan scaling. The image tile is then transposed, scaled in the fast scan direction, and then again transposed to an original orientation. The tile is reassembled into a scaled image and may be rendered by a rendering device.

Abstract: An image processing device includes an edge direction determination unit, a filter coefficient calculation unit, and a filter processing unit. The edge direction determination unit determines a first edge direction of an edge including a first pixel of input image data, and calculates a first reliability value of the determined edge direction corresponding to the first pixel. The filter coefficient calculation unit calculates a first filter coefficient corresponding to the first pixel, a second filter coefficient corresponding to a second pixel, and a third filter coefficient corresponding to a third pixel at least based on the first reliability value of the first edge direction. The filter processing unit performs filter processing on the input image data on the basis of the calculated first through third filter coefficients, and outputs output image data.

Abstract: A pixel interpolation processing apparatus and an image capturing apparatus are provided that are capable of performing a pixel interpolation process properly even when the pattern of color filter array is unknown. An imaging apparatus includes an imaging unit having a single-chip image sensor having four-color filter array for obtaining an image signal, and the imaging apparatus uses pixel data for a surrounding area around a target pixel to calculate a plurality of sets of correlation values in two directions orthogonal to each other, and determines the correlation direction based on these correlation values.

Abstract: A surround view system that can provide a surround view, e.g., a 360° view, from a vehicle by way of cameras positioned at various locations on the vehicle. The cameras can generate image data corresponding to the surround view, and a processing device can process the image data and generate the surround view on a simulated predetermined shape that can be viewed from a display. The simulated predetermined shape can have a flat bottom with a rectangular shape and a rim with a parabolic shape.

Abstract: A relatively high-resolution image from a conventional camera can be computationally combined with a relatively low-resolution wavefront measurement from, for example, a Shack-Hartmann sensor in order to construct a relatively high-resolution light-field image.

Abstract: Systems, methods, and computer-readable media acquire an image captured with a mobile device. Motion sensor data of the mobile device at or near a time when the image was captured is acquired. An angle of rotation is computed based on the motion sensor data, and the image is transformed based on the angle of rotation. In another aspect, a user interface enables user control over image transformation. The user interface enables user control over rotating an image on a display at two or more granularities. A point of rotation may be user-defined. Rotated images may be scaled to fit within a viewing frame for displaying the transformed image.

Abstract: A method of producing a textured or pseudo-3D image of one or more map objects is provided comprising acquiring at least one image representing at least part of the one or more map objects. Laser scan data is acquired for the at least one map object, the laser scan data representing distances from a laser scanner to one or more points on at least one surface of the at least one map object. Texture or lighting data associated with the at least one map object is generated from the laser scan data, and the texture or lighting data and the image is processed in order to generate at least one textured or pseudo 3D image at least partially representing the one or more map objects.

Abstract: System and methods are provided for performing image noise reduction. Color estimation of a pixel in an image is performed, wherein the image is stored in a data structure in a non-transitory computer-readable storage medium and the pixel has an initial pixel value. A pixel-block size is selected for pixel block similarity calculations based at least in part on the color estimation. One or more first pixel blocks associated with the pixel of the selected pixel-block size are determined. One or more first pixel block average values for the one or more first pixel blocks are calculated. A weighted average of the first pixel block average values is calculated. The data structure is updated by replacing the initial pixel value of the pixel with the weighted average of the first pixel black average values.

Abstract: An efficient method and system for multi-sample antialiasing in graphics processing is described. Geometric edges as well as implicit edges of primitives in a bin are identified by iteratively rendering bins of pixels. Selective multi-sample antialiasing is applied to pixels that are touched by either a geometric edge or an implicit edge; pixels that are fully covered are not antialiased.

Abstract: Various implementations address high dynamic range (“HDR”) images. In one particular implementation, a low dynamic range (“LDR”) image is generated from an HDR image, and information is generated allowing the HDR image to be reconstructed from the LDR image. The LDR image and the information are encoded. In another implementation, a signal or signal structure includes an LDR section including the encoded LDR image, and an information section including the encoded information. In another implementation, the encoded LDR image and the encoded information are both decoded. The HDR image is then reconstructed based on the decoded LDR image and the decoded information.

Abstract: Novel methods and systems for color grading are disclosed. The color grading process for a visual dynamic range image can be guided by information relating to the color grading of other images such as the standard dynamic range image.

Abstract: A system and method can mitigate or prevent contrast ratio issues due to bright light (e.g., light saturation) in a head up display (HUD). The head up display can include a waveguide combiner (or non-waveguide combiner) and a mitigator disposed to prevent or reduce bright light from being provided through the combiner. The bright light can be direct lunar light, direct solar light, or solar/lunar reflections. The mitigator dynamically selects and reduces bright background light which results in an increase of contrast ratio.

Abstract: A radiographic image processing device includes: an image acquisition section that acquires a subject image detected by a shielded detection portion and a non-shielded detection portion; an area information acquisition section that acquires area information which is information for specifying a non-shielded image area and a shielded image area; and a scattered ray suppression section that estimates spreading of scattered rays generated in a non-shielded subject portion, estimates that scattered rays that spread to the non-shielded image area from a shielded subject portion are not present, calculates a scattered ray component in each position in the non-shielded image area as the estimated scattered rays reach each position in the non-shielded image area, and suppresses the scattered ray component in each position in the non-shielded image area according to the calculated scattered ray component.

Abstract: According to embodiments herein, depth key compositing is the process of detecting specific desired portions/objects of a digital image using mathematical functions based on depth, in order to separate those specific portions/objects for further processing. In one particular embodiment, a digital visual image is captured from a video capture device, and one or more objects are determined within the digital visual image that are within a particular depth range of the video capture device. From there, the one or more objects may be isolated from portions of the digital visual image not within the particular depth range, and the isolated objects are processed for visual display apart from the portions of the digital visual image not within the particular depth range. Also, in certain embodiments, the detected portion of the digital image (isolated objects) may be layered with another image, such as for film production, or used for holographic projection.

Abstract: The present invention provides an image processing device whereby the probability of outputting a restored image which accurately corresponds to an original image which is included in a low-quality input image is improved. This image processing device comprises: an image group generating means for generating, from the input image, using a dictionary which stores a plurality of patch pairs wherein a degradation patch which is a patch of a degraded image wherein a prescribed image is degraded is associated with a restoration patch which is a patch of this prescribed image, a plurality of restored image candidates including a plurality of different instances of content which have a possibility of being the original content of the input image; and an image selection presentation means for clustering the generated plurality of restored image candidates, and selecting and outputting an image candidate on the basis of the result of this clustering.

Abstract: In order to enable the computation of a process window including an arbitrary exposure condition, the present invention comprises: a contour data extraction means for extracting contour data from captured images of a plurality of circuit patterns formed by altering exposure conditions for identical design layouts; a shape variation measurement means for measuring, on the basis of the plurality of sets of extracted contour data, the amount of shape deformation at each edge or local region of the circuit patterns; a variation model computation means for computing, on the basis of the measured amount of shape deformation, a variation model for the contour data of a circuit pattern or a shape corresponding to a prescribed exposure condition; and a process window computation means using the variation model to estimate the amount of shape variation of a circuit pattern or a shape corresponding to an arbitrary exposure condition with respect to a circuit pattern or a shape corresponding to an exposure condition spec

Abstract: Disclosed are methods and apparatus for inspecting an extreme ultraviolet (EUV) reticle is disclosed. An inspection tool for detecting electromagnetic waveforms is used to obtain a phase defect map for the EUV reticle before a pattern is formed on the EUV reticle, and the phase defect map identifies a position of each phase defect on the EUV reticle. After the pattern is formed on the EUV reticle, a charged particle tool is used to obtain an image of each reticle portion that is proximate to each position of each phase defect as identified in the phase defect map. The phase defect map and one or images of each reticle portion that is proximate to each position of each phase defect are displayed or stored so as to facilitate analysis of whether to repair or discard the EUV reticle.

Abstract: The invention relates to a method for correcting MRI image distortion, in which a distortion correction procedure is carried out on an acquired MRI image data set (1) of a body region by graphical data processing, characterized in that: —after the MRI image data set (1) has been acquired, its distortion is determined by carrying out an image registration process for registering the acquired MRI image data set (1) to a previously available, less distorted or undistorted image data set (2) of substantially the same body region; —a transformation is determined from the image registration process; and —by applying the transformation to the MRI image data set (1), its distortion is corrected.

Abstract: Systems and methods are disclosed for predicting the location, onset, or change of coronary lesions from factors like vessel geometry, physiology, and hemodynamics. One method includes: acquiring, for each of a plurality of individuals, a geometric model, blood flow characteristics, and plaque information for part of the individual's vascular system; training a machine learning algorithm based on the geometric models and blood flow characteristics for each of the plurality of individuals, and features predictive of the presence of plaque within the geometric models and blood flow characteristics of the plurality of individuals; acquiring, for a patient, a geometric model and blood flow characteristics for part of the patient's vascular system; and executing the machine learning algorithm on the patient's geometric model and blood flow characteristics to determine, based on the predictive features, plaque information of the patient for at least one point in the patient's geometric model.

Abstract: A method includes constructing a variation image from an ovarian follicle B-mode ultrasound image, wherein the variation image is indicative of local variations in the ovarian follicle B-mode ultrasound image, constructing a binary image from the variation image and the ovarian follicle B-mode image, identifying connected components in the binary image, wherein each connected component corresponds to a different ovarian follicle candidate, constructing a coarse follicle mask from the binary image where each identified connected component represents a mask for a corresponding different ovarian follicle candidate in the binary image, optimizing contours of the follicles in the coarse follicle mask, and segmenting one or more ovarian follicles from the ovarian follicle B-mode ultrasound image with the optimized follicle mask.

Abstract: A determination unit makes a determination as to whether or not at least either one of at least a portion of an upper end vertebra and at least a portion of a lower end vertebra is included in a first medical image of a subject. If the determination is negative, an image obtaining unit obtains a second medical image that allows recognition of a label of the vertebra of the subject. A labeling unit aligns the first medical image with the second medical image and labels the vertebra included in the first medical image.

Abstract: According to embodiment, a medical image processing apparatus includes input interface circuitry and processing circuitry. The input interface circuitry inputs at least three landmarks in a first and second slice image group. The processing circuitry determines, in each of the first and second slice image group, a first axis connecting two points in the landmarks and a second axis that passes through another point different from the two points and is orthogonal to the first axis. The processing circuitry performs a registration between first slice images belonging to the first slice image group and second slice images belonging to the second slice image group by using the first and second axes in the first slice image group and the first and second axes in the second slice image group.

Abstract: The present invention relates to a method for generating a risk map indicating predicted voxel-by-voxel probability of tissue infarction for a set of voxels, the method comprising the steps of, receiving for each voxel a first value (x) corresponding to a set of tissue marker values and generating the risk map, using a statistical model based on data from a group of subjects, and a stochastic variable, wherein the statistical model also comprises a second value (zi), being based on the stochastic variable, such as the second value modelling non-measured values. The invention may be seen as advantageous since it acknowledges subject variability in probability of tissue infarction on a voxel-by-voxel basis by taking non-measured values into account, which in turn may enable providing more reliable estimates of probability of infarction.

Abstract: A method is presented to obtain, from a retinal image, data characterizing the optic cup, such as data indicating the location and/or size of the optic cup in relation to the optic disc. A disc region of the retinal image of an eye, is expressed as a weighted sum of a plurality of pre-existing “reference” retinal images in a library, with the weights being chosen to minimize a cost function. The data characterizing the cup of the eye is obtained from cup data associated with the pre-existing disc images and the corresponding weights. The cost function includes (i) a construction error term indicating a difference between the disc region of the retinal image and a weighted sum of the reference retinal images, and (ii) a cost term, which may be generated using a weighted sum over the reference retinal images of a difference between the reference retinal images and the disc region of the retinal image.

Abstract: Apparatus and method for modification of emotion conveyed by an image. In one aspect, a metric corresponding to the emotion conveyed by an image is generated, and a command for modifying the emotion of the image causes the emotion conveyed by the image to be changed according to the specified change to emotion. The command to modify the image emotion can be made via an emotion keyword, and can include an indicated magnitude of emotion change. Emotion conveyed by an image can be specified via an emotion vector, where elements of the vector correspond with emotions arranged along orthogonal dimensions in an emotion space. In one aspect, an emotion predictor is trained to predict the emotion conveyed by an image via determining characteristic values for a set of image feature categories, based on a set of images associated with emotion keywords of the emotion space.

Abstract: A method generates a three-dimensional map of a region from successive images of that region captured from different positions. The method includes detecting feature points within the captured images; designating a subset of the captured images as a set of keyframes each having respective sets of measurement data representing image positions of landmark points detected as feature points in that image, where each keyframe is connected to at least one other keyframe in the set; and detecting whether candidate measurement data associated with a keyframe may be removed from the set of measurement data for that keyframe by detecting whether each keyframe, in the set of keyframes without the candidate measurement data, is still directly or indirectly connected to all of the other keyframes in the set of keyframes by a sequence of one or more connections. And in this case, the method includes removing that candidate measurement data.

Abstract: A method of georeferencing a first image of a scene acquired from a first imaging device based on at least one second image of the scene acquired from a second imaging device. The method includes obtaining data indicative of an eligibility parameter for one or more areas of the scene; selecting one or more pivot areas among the one or more areas of the scene, wherein the eligibility parameter of the pivot areas satisfy a predefined criterion; for at least some of the selected pivot areas, identifying tie points for the first and second images; and solving the external orientation of the first image using the identified tie points and a first imaging device model.

Abstract: An image capture apparatus 1 is equipped with: a CPU 11 that acquires a plurality of images; a normalization unit 54 that performs normalization such that an area of at least one of a plurality of acquired images satisfies a predetermined criterion; and a display control unit 56 that performs control such that a plurality of images including the images normalized by the normalization unit 54 are displayed in an output unit 19.

Abstract: The invention provides methods of detecting and describing features from an intensity image. In one of several aspects, the method comprises the steps of providing an intensity image captured by a capturing device, providing a method for determining a depth of at least one element in the intensity image, in a feature detection process detecting at least one feature in the intensity image, wherein the feature detection is performed by processing image intensity information of the intensity image at a scale which depends on the depth of at least one element in the intensity image, and providing a feature descriptor of the at least one detected feature. For example, the feature descriptor contains at least one first parameter based on information provided by the intensity image and at least one second parameter which is indicative of the scale.

Abstract: There are provided a three-dimensional measurement apparatus capable of speeding up image processing, and a robot system including the same.

Abstract: An image processing device of the present invention determines the pixel values of background pixels based on a pixel value histogram of a target image to be segmented into a foreground and a background, determines pixels of the target image having pixel values equivalent to the pixel values of these background pixels, as a portion of the background pixels, and determines other background pixels and foreground pixels in the target image by use of the pixel value of each pixel in the target image and the positional information of this portion of the background pixels.

Abstract: A method separates foreground from background in a sequence of images, by first acquiring the sequence of images and a depth map of a scene by a camera. Groups of pixels are determined based on the depth map. Then, the sequence of images is decomposed into a sparse foreground component, and a low rank background component, according to apparent motion in the sequence of images, and the groups.

Abstract: A region segmentation apparatus for segmenting an image into a plurality of regions by pixel data clustering comprises a clustering processing unit that clusters each pixel configuring the image to one of a plurality of representative data items based on respective pixel data. Based on pixel data belonging to each representative data item as a result of the clustering by the clustering processing unit, the plurality of representative data items used in the clustering are updated for a next clustering. The region segmentation apparatus further determines whether by the clustering a state in which a dead cluster should be resolved occurs, and, if it is determined that the state in which the dead cluster should be resolved occurs, changes representative data corresponding to the dead cluster to resolve the state.

Abstract: A method of analyzing structure of a network of vessels in a medical image, comprising: receiving the medical image depicting the network of vessels; obtaining a mask of the network of vessels in the image; and generating a non-forest graph mapping a plurality of paths of vessels in the network to directed paths in the graph, with each edge in the graph either directed to indicate a known direction of flow in the corresponding vessel, or undirected to indicate a lack of knowledge of direction of flow in the corresponding vessel, and with all directed edges in a path directed in a same direction as the path.

Abstract: An image such as a depth image of a scene may be received, observed, or captured by a device. A grid of voxels may then be generated based on the depth image such that the depth image may be downsampled. A background included in the grid of voxels may then be discarded to isolate one or more voxels associated with a foreground object such as a human target and the isolated voxels associated with the foreground object may be processed.

Abstract: An image pickup system is an image pickup system in which an image pickup section and a confirmation section that displays a picked-up image from the image pickup section are separable, the image pickup system including: a first motion determination section that determines a motion of the image pickup section; a second motion determination section that determines a motion of the confirmation section; and a control section that controls at least one of the image pickup section and the confirmation section by obtaining a relationship between the motion of the image pickup section and the motion of the confirmation section based on determination results of the first and second motion determination sections.

Abstract: A motion capture system includes motion capture cameras positioned in various locations and orientations with respect to a motion capture volume. The motion capture system includes a host computing device that is operatively coupled with the motion capture cameras. The host computing device remotely controls operation of the motion capture cameras to record movement within the motion capture volume. At least one of the motion capture cameras includes a user-interface that is operable by a user to remotely initiate a control operation of the host computing device.

Abstract: A composition determination device includes: a subject detection unit configured to detect a subject in an image based on acquired image data; an actual subject size detection unit configured to detect the actual size which can be viewed as being equivalent to actual measurements, for each subject detected by the subject detection unit; a subject distinguishing unit configured to distinguish relevant subjects from subjects detected by the subject detection unit, based on determination regarding whether or not the actual size detected by the actual subject size detection unit is an appropriate value corresponding to a relevant subject; and a composition determination unit configured to determine a composition with only relevant subjects, distinguished by the subject distinguishing unit, as objects.

Abstract: At least one example embodiment discloses an imaging apparatus that may receive input images with different viewpoints, obtain information associated with the input images, and generate a new viewpoint image based on the received input images and the obtained information and thus, reduce an information loss of the new viewpoint image for the input images.

Abstract: Methods, devices, systems, and computer readable media to improve the operation of window-based operating systems is disclosed. In general, techniques are disclosed for correctly rendering areas on a display in which two or more shadows overlap. More particularly, two or more shadow regions (based on the arrangement of overlapping windows/shadows) are identified and merged in a top-down process so that no region's shadow is painted or rendered more than once. To accomplish this a shadowbuffer (analogous to a system's framebuffer) may be used to retain windows' alpha information separately from the corresponding windows' shadow intensity information.

Abstract: An image-processing device for performing processing of coloring a skin of an image of a person with a pattern in a certain color, comprising a color-correction unit that corrects the color of the pattern to determine a color for each region such that the color of the pattern applied to each region varies in a plurality of regions colored with the pattern in the image of the person; and a coloring unit that colors the image of the person with the pattern by superimposing the color for each region on a color of each region of the image of the person.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for rendering an image. One of the methods includes, for each of a plurality of pixels of the image: maintaining current color data for each of a plurality of render elements generated by sampling color contribution values for the render element for the pixel; determining, for each of the plurality of render elements, whether or not to sample another color contribution value for the render element from the current color data for the render element for the pixel and the current color data for the render element for one or more pixels that neighbor the pixel in the image; and sampling a new color contribution value only for the render elements for which it was determined to sample another contribution value.

Abstract: A method and system for generating a map using a computer is based on data and weighted factors to minimize corresponding projection distortions. The method and system includes determining visualization goals from analyzing a set of datasets for a map using the computer. A set of visualization characteristics are calculated for each dataset based on the visualization goals using the computer. The visualization characteristics are analyzed to weight factors for each of the datasets. Each of the weighted factors is adjusted based on the relevance of each of the datasets for visualization of the map. An aggregate vector of weighted factors is calculated based on all of the datasets, and the map for visualization is generated based on the aggregate vector of weighted factors.

Abstract: Methods and devices provide a quick and intuitive method to launch a specific application, dial a number or send a message by drawing a pictorial key, symbol or shape on a computing device touchscreen, touchpad or other touchsurface. A shape drawn on a touchsurface is compared to one or more code shapes stored in memory to determine if there is a match or correlation. If the entered shape correlates to a stored code shape, an application, file, function or keystroke sequence linked to the correlated code shape is implemented. The methods also enable communication involving sending a shape or parameters defining a shape from one computing device to another where the shape is compared to code shapes in memory of the receiving computing device. If the received shape correlates to a stored code shape, an application, file, function or keystroke sequence linked to the correlated code shape is implemented.

Abstract: Color cell-based data placement systems, methods, and computer-readable storage media that visualize large amounts of multidimensional data on an output by rearranging data objects to variably grant more output space to areas with high data density and less output space to areas with low data density, and to variably rearrange overlapping data objects based on a number of data objects already placed at a preferred cell position for the data object.

Abstract: A method includes determining utilization metrics and range data for each of a plurality of system components and formatting for display a list comprising the plurality of system components and respective component attributes of the system components. The component attributes include the respective utilization metrics over a selected time range. The method further includes determining, using a processor, a selected system component based on a cursor position with respect to the list of system components and, in response to determining the selected system component, formatting for display a gauge indicative of the selected system component. The gauge includes an average utilization of the selected system component over the selected time range. The gauge also includes the range data that includes a minimum utilization of the selected system component over the selected time range and a maximum utilization of the selected system component over the selected time range.

Abstract: A method and system render rasterized data by receiving non-rasterized page description language data and a corresponding transformation matrix representing transformation operations to be performed. The non-rasterized page description language data is rasterizing to create rasterized data. The corresponding transformation matrix is decomposed into a plurality of individual transformation operation matrices and a discrete transformation operation value, from each corresponding individual transformation operation matrix, is generated for each transformation operation to be performed upon the rasterized data. The transformation operations are performed upon the rasterized data based upon the generated discrete transformation operation values.

Abstract: Techniques for an electronic montage system are described. An apparatus may comprise a logic device arranged to execute a montage application comprising a presentation component. The presentation component may be operative to detect when a display size or resolution has changed from one used for an original layout of a montage. The presentation component may reposition, or reflow, the tiles in the montage in the changed display in a way that preserves the spatial characteristics of the tiles to each other. An authoring component may reflow tiles automatically when a tile is deleted from a montage to minimize blank space between tiles. Other embodiments are described and claimed.

Abstract: A command value for moving a virtual machine is calculated according to a control program and based on model data of a virtual object (step S313, step S314) where the virtual machine corresponds to a machine and the virtual object is manipulated by the virtual machine in a virtual space and corresponds to an object; motion of the virtual machine which is moved in accordance with the calculated command value is calculated (step S315); motion of the virtual object which is moved in accordance with the calculated motion of the virtual machine (step S315); a virtual space image is generated (step S115) where the virtual space image is assumed to be acquired in the case where the calculated motion of the virtual machine or the calculated motion of the virtual object is virtually photographed; and the command value is calculated further based on the generated virtual space image (step S313, step S314).

Abstract: Systems and methods for providing a visualization of satellite sightline obstructions are provided. An example method includes identifying an approximate position of a receiver antenna. The method further includes providing a rendering of a physical environment surrounding the receiver antenna for display within a user interface. The user interface can be provided on a display. Satellite positional data associated with the position of a satellite is accessed and a sightline between the approximate position of the receiver antenna and the position of the satellite is determined. The method further includes presenting the sightline within the user interface in association with the rendering. An example system includes a data capture system and a computing device to provide a visualization of satellite sightline obstructions.