Abstract: An image generating apparatus includes: a rendering unit that carries out rendering of objects of a virtual space and generates a computer graphics image; a drawing processing unit that executes subsequent drawing processing for the computer graphics image; and an interrupt unit that interrupts the rendering at a timing of a graphics processor interrupt and causes execution of the subsequent drawing processing based on a result of the rendering to the timing of the graphics processor interrupt. The drawing processing unit includes a reprojection unit that executes reprojection processing of converting the computer graphics image in conformity to a new position of a point of view or a new direction of a line of sight as the subsequent drawing processing. The interrupt unit causes execution of the reprojection processing of the computer graphics image, based on the result of the rendering to the timing of the graphics processor interrupt.

Abstract: An image processing method, an apparatus and a device are provided. The method includes: a first image is captured according to a preset first exposure time and a second image is captured according to a second exposure time by using dual cameras; a first foreground area and a first background area of the first image are determined, and a second foreground area of the second image is determined; image fusion is performed on the second foreground area and the first foreground area to generate a third foreground area; and blurring processing is performed on the first background area, and the third foreground area and the first background area subjected to the blurring processing are composed to generate a target image.

Abstract: Techniques are provided to encode and decode image data comprising a tone mapped (TM) image with HDR reconstruction data in the form of luminance ratios and color residual values. In an example embodiment, luminance ratio values and residual values in color channels of a color space are generated on an individual pixel basis based on a high dynamic range (HDR) image and a derivative tone-mapped (TM) image that comprises one or more color alterations that would not be recoverable from the TM image with a luminance ratio image. The TM image with HDR reconstruction data derived from the luminance ratio values and the color-channel residual values may be outputted in an image file to a downstream device, for example, for decoding, rendering, and/or storing. The image file may be decoded to generate a restored HDR image free of the color alterations.

Abstract: Inducing a particular behavior/process among a set of pre-determined behaviors/processes by implicitly signaling the selection of the particular behavior/process though a particular combination of specific values of said set of information data driven the process. Typically, enables re-using parameters already carried with a signal to signal how those parameters are used by a specific process.

Abstract: Disclosed is a method and apparatus for three-dimensional (3D) rendering, the apparatus including a processor configured to extract shading information, visibility information and shape information from a region of an input image, determine a light source based on the shading information, the visibility information, and the shape information of the region, and generate a 3D rendering image by rendering the input image based on the determined light source.

Abstract: Embodiments relate to directional bilateral filtering of a raw image. For each pixel in the image, a block of pixels surrounding that pixel is used for filtering. When the block of pixels in a Bayer pattern have directionality, directional filter coefficients are used instead of default filter coefficients. To obtain a directional tap, a directional filter coefficient is attenuated by an attenuation factor that differs based at least on the location of the pixels in the pixel block. The directional taps are blended with non-directional taps derived from the default filter coefficients using a weight representing confidence on the directionality. The filtered pixel values are then obtained by multiplying pixel values with corresponding taps.

Abstract: The present disclosure relates to an image processing apparatus and an image processing method that make it possible to generate a texture image of high picture quality at a predetermined viewpoint using an omnidirectional image. A drawing section generates a display image of a given viewpoint using a first layer image including a texture image and a depth image of an omnidirectional image and a second layer image including a texture image and a depth image in an occlusion region at a viewpoint of the first layer image. The present disclosure can be applied to, for example, a home server that generates a display image of a predetermined viewpoint from an omnidirectional image or the like.

Abstract: An apparatus in one embodiment comprises at least one processing device having a processor coupled to a memory. The one or more processing devices are operative to configure a plurality of distributed processing nodes to communicate over a network, to abstract content locally accessible in respective data zones of respective ones of the distributed processing nodes into respective catalogs of a distributed catalog service in accordance with a layered extensible data model, and to provide in the distributed processing nodes a plurality of microservices for performing processing operations on at least one of the layered extensible data model and the catalogs. The layered extensible data model comprises a plurality of layers including a core data model layer and at least one extensions layer. The microservices may comprise at least one microservice to alter the layered extensible data model and at least one microservice to query one or more of the catalogs.

Abstract: The described positional awareness techniques employing visual-inertial sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy.

Abstract: A shovel includes a traveling undercarriage, an upper rotating structure swingably mounted on the traveling undercarriage, an attachment attached to the upper rotating structure and including a boom, an arm, and a bucket, a guidance device configured to guide an operation of the attachment, and a display device configured to display information related to work by the attachment. The guidance device is configured to display multiple distance indicating parts with respect to the width direction of the bucket on the display device. The distance indicating parts schematically indicate relative distances to a target surface.

Abstract: In implementations of object-based color adjustment, an image editing system adjusts hue and saturation of a digital image so that objects in the digital image do not appear unnatural. The image editing system quantizes a CIELAB color space into classes that represent pairs of a and b channel values. The image editing system determines probabilities that pixels of a digital image belong to each of the classes, and based on the probabilities, determines a range of hue and a range of saturation for each pixel. An object detector segments objects in the digital image to determine ranges of hue and saturation for each segmented object. The image editing system selectively adjusts the hue and saturation for objects of the digital image based on whether the hue and saturation range for the object include a value of hue and saturation, respectively, selected in a user interface.

Abstract: One aspect of the present disclosure is an image processing device performing image stabilization of frame images shot by an imaging device. This device is provided with an acquiring unit, an image generating unit and a cropping unit. The acquiring unit acquires the plurality of frame images. The image generating unit stitches, among the plurality of frame images acquired by the acquiring unit, a first frame image and a second frame image, the second frame image being one frame image among several frames before and after the first frame image, to generate a composite image larger than a size of the first frame image and the second frame image. The cropping unit sets a cropping region to the composite image and outputs an image in the cropping region as an output frame image.

Abstract: An image synthesizing method includes capturing a first image using a reference small aperture size; capturing a second image using a reference large aperture size; obtaining one or more reference color weights according to a corresponding pixel of the first image and adjacent pixels of the corresponding pixel of the first image and a corresponding pixel of the second image; obtaining an associated distance by looking up an association table according to the one or more reference color weights; obtaining one or more associated color weights by looking up the association table according to the associated distance and an expected aperture; and obtaining a color value of a corresponding pixel of a synthesized image, by applying weighting to the corresponding pixel of the first image and the adjacent pixels of the corresponding pixel of the first image with the one or more associated color weights.

Abstract: An image adjustment method includes: sequentially processing a plurality of pixels in at least one frame, wherein a pixel under processing is a current pixel, the current pixel and multiple adjacent pixels form a current block, and each current block is performed with following operations: reading a grayscale value of each pixel in the current block; determining a region grayscale value and a region variance of the current block according to the grayscale values of the pixels; generating a variance adjustment parameter via a variance adjustment function, wherein the region grayscale value is a variable of the variance adjustment function; generating an adjusted region variance according to the variance adjustment parameter and the region variance; and comparing the adjusted region variance with a variance threshold to determine whether to perform a noise suppression operation on the current pixel.

Abstract: A method for processing a video stream prior to encoding, the video stream potentially comprising a film grain, the method comprising: measuring a film grain intensity in the video stream; obtaining at least one encoding rate information item associated with the video stream, in order to determine a pair of respective values for the grain intensity and encoding rate; comparing the pair values with predetermined respective threshold values in order to categorize the video stream with respect to pairs of predetermined values of grain intensity and rate; and selecting a film grain management strategy among at least four combinations based on the categorization of the video stream.

Abstract: Disclosed herein are systems and methods for determining quality metrics of images based on an edge gradient profile and characterizing regions of interest in an image or images. According to an aspect, a method includes using an imaging device to acquire one or more images including at least a portion of an organ of a subject. The method also includes computing an edge profile across an organ interface of a subject. The method also includes computing an edge gradient profile from the edge profile of a subject. The method also includes computing a image quality metric related to the spatial resolution of the image or images from the edge gradient profile. The method also includes defining multiple regions of interest within the portion of the organ. Further, the method includes characterizing the regions of interest based on predetermined criteria. The method also includes presenting the characterization of the edge gradient profile and characterization of the regions of interest to a user.

Abstract: Methods, systems and programs for denoising a signal using discrete wavelet transformation are provided. For example, a method for denoising a signal may include determining a number of resolution levels to denoise, determining variable threshold(s) for each resolution level, applying the determined variable threshold(s) to denoise at least a detail component of each of the determined resolution levels. Each variable threshold includes a separately determined lower threshold and upper threshold. The method for denoising a signal may further include transforming, using an inverse discrete wavelet transformation, at least the denoised detail component for each of the determined resolution levels into a denoised signal.

Abstract: In implementations of super-resolution with reference images, a super-resolution image is generated based on reference images. Reference images are not constrained to have same or similar content as a low-resolution image being super-resolved. Texture features indicating high-frequency content are extracted into texture feature maps, and patches of texture feature maps of reference images are determined based on texture feature similarity. A content feature map indicating low-frequency content of an image is adaptively fused with a swapped texture feature map including patches of reference images with a neural network based on similarity of texture features. A user interfaces allows a user to select regions of multiple reference images to use for super-resolution. Hence, a super-resolution image can be generated with rich texture details incorporated from multiple reference images, even in the absence of reference images having similar content to an image being upscaled.

Abstract: A method for recognizing characters in an image of a document having at least one alphanumeric field. The method has the steps of: segmenting the image to identify objects therein; defining a bounding box around each object; making multiple successive selections based on different descriptors and dividing the bounding boxes into a plurality of cells for each of which a texture descriptor is determined as a gradient oriented histogram; performing character recognition on the finally selected bounding boxes. A device for implementing the method.

Abstract: A universal service for objects (e.g., DICOM objects) and method for processing the same are described. In one embodiment, the method comprises: receiving, at a web service engine, a web services request from a remote web client for one or more Digital Imaging and Communications in Medicine (DICOM) objects; generating a DICOM Message Service Element (DIMSE) request from the web services request, wherein generating the DIMSE service request includes parsing a modified base URL that includes information for a DIMSE service request, the modified URL being compliant with a standard that specifies a web-based service for accessing and presenting DICOM objects; sending the DIMSE service request to a server; receiving a response to the DIMSE service request from the server; reformatting the response to be compliant with the standard that specifies a web-based service for accessing and presenting DICOM objects; and returning the reformatted response to the remote web client.

Abstract: Provided is an image processing apparatus for correcting an influence of atmospheric turbulence by using pieces of image data captured temporally successively. It includes: an obtaining unit that obtains pieces of partial image data corresponding to images of a processing target area in the pieces of image data; a transform unit that transforms the obtained pieces of partial image data into Fourier spectra; an estimation unit that estimates a phase containing a high-frequency component by using phases of low-frequency components in the Fourier spectra; a correction unit that, on the basis of the result of the estimation and reference data determined on the basis of the obtained pieces of partial image data, corrects the result of the estimation on at least one of the pieces of partial image data; and a generation unit that generates output image data corresponding to the pieces of image data on the basis of the corrected result.

Abstract: Devices and methods for evaluating at least one photograph during a photography session are described. In some instances, a camera may be used to capture images during a photography session and a computing device may be used to identify a portrait order specification for the photography session including a set of required photographs, each having associated required criteria. The computing device may evaluate the images and determine whether the images can be associated with any of the required photographs based on features included in the images being associated with the required criteria of the required photographs. The images associated with required photographs may be displayed, and a determination of whether the images qualify as a required photograph may be made using a graphical user interface, or may be made automatically.

Abstract: A framework for defective pixel correction using adversarial networks. In accordance with one aspect, the framework receives first and second training image datasets. The framework performs adversarial training of a corrector and a classifier with the first and second training image datasets respectively. The corrector may be trained to correct a first input image and the classifier may be trained to recognize whether a second input image is real or generated by the corrector. The framework applies the trained corrector to a current image to correct any defective pixels and generate a corrected image. The corrected image may then be presented.

Abstract: Systems and methods for displaying a simplified version of a modification of a media content item on a mobile device are provided. The mobile device can receive, via a user interface presented on the mobile device, a request for a desired modification of an original media content item. The mobile device can perform a simplified version of the desired modification of the original media content item. The mobile device can present a preview of the modified media content item in the user interface. The mobile device can transmit, to another computing device, the original media content item with the request for the desired modification.

Abstract: A first image and a second image having a smaller pixel size than the first image are acquired. Based on a pixel size of the first image, a size of a calculation area to be set on the second image is calculated. A plurality of calculation areas including a corresponding position on the second image corresponding to a position of interest on the first image, and having the calculated area size are set on the second image. In each of the plurality of calculation areas, a representative value based on density values of pixels included in the calculation area is calculated, and based on a density value of a pixel at the position of interest and a plurality of representative values, a difference value between the first and second images at the position of interest is determined.

Abstract: A method and apparatus for generating print data are described herein. An apparatus comprising an image processor (110) is configured to select a region of an image spanning an intersection between at least two adjacent sub-images that partition the image. The spanning region is divided based on a non-linear path that is determined on the basis of a user input, resulting in at least two modified adjacent sub-images. Print data operable to cause a printing device (150) to print the respective modified adjacent sub-images are generated on the basis of the dividing.

Abstract: Multiple cameras are arranged in an array at a pitch, roll, and yaw that allow the cameras to have adjacent fields of view such that each camera is pointed inward relative to the array. The read window of an image sensor of each camera in a multi-camera array can be adjusted to minimize the overlap between adjacent fields of view, to maximize the correlation within the overlapping portions of the fields of view, and to correct for manufacturing and assembly tolerances. Images from cameras in a multi-camera array with adjacent fields of view can be manipulated using low-power warping and cropping techniques, and can be taped together to form a final image.

Abstract: An encoder and/or a computer implemented encoding method includes a texture module configured to determine texture data associated with texture of an image, a noise module configured to determine noise data based on the texture data, a synthesis module configured to generate spatial spectral characteristics of the noise, and combine at least one of the noise data, the texture data, and the spatial spectral characteristics of the noise based on at least one border between adjacent textures, and an encoding module configured to compress the image using an image compression codec.

Abstract: A display apparatus includes a display which displays a screen including a plurality of photo contents containing a user face and a processor configured to control the display to distinguishably display the plurality of photo contents based on a photographing time of the plurality of photo contents with reference to a time at which a preset event related with skin has occurred.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for augmenting reality. A specific embodiment of the method includes: acquiring outline data of a plurality of building blocks satisfying a preset selection condition, the outline data being used to describe an outline of a building block in three-dimensional space; generating reference information based on projected line segments of the plurality of building blocks; determining, based on the reference information, a target building block in the plurality of building blocks and a superimposed region in an image acquired by the terminal, labeling information of the target building block being superimposed on the superimposed region; and superimposing the labeling information of the target building block on the determined superimposed region, to obtain an augmented reality image.

Abstract: Inspection device including processor configured to execute process, the process including: making accept/reject testing on inspection image through first image inspection program in group of image inspection programs including plurality of learning-type image inspection programs of different generations, each of which satisfies predetermined standard of fitness of the image inspection program with respect to learning image; and replacing the first image inspection program with second image inspection program in the group of image inspection programs which exhibits optimum fitness with respect to the misrecognized inspection image, when operator makes the accept/reject testing on the inspection image that has undergone the accept/reject testing through the first image inspection program and finds the misrecognized inspection image.

Abstract: Systems and methods are provided for analyzing messages generated by a plurality of computing devices associated with a plurality of users in a messaging system to generate training data to train a machine learning model to determine a probability that a media content item was generated inside an enclosed location or outside, receiving a media content item from a computing device, analyzing the media content item using the trained machine learning model to determine a probability that the media content item was generated inside an enclosed location or outside, determining, based on the probability generated by the trained machine learning model, that the media content item was generated inside an enclosed location, and determining an inside temperature associated with the venue based on messages generated by a plurality of computing devices in a messaging system comprising media content items and temperature information for the venue or a similar venue type.

Abstract: Described here are systems and methods for optimization techniques for automatically selecting x-ray beam spectra, energy threshold, energy bin settings, and other imaging technique parameters for photon-counting detector computed tomography (“PCCT”). The techniques described here are generally based on subject or object size, material of interest, and location of the target material. Advantageously, the optimizations can be integrated with different PCCT systems to automatically select optimal imaging technique parameters before scanning a particular subject or object.

Abstract: A method for determining a quality rating data (QRD) of a medical data acquisition system (MDAS) includes receiving first data which includes utilization errors by an MDAS that occurred while performing a data acquisition procedure (DAP), by a data acquisition component of the MDAS, to acquire medical data. The method also includes generating second data as a function of the first data, the second data being indicative of categories of the utilization errors, wherein at least one utilization error is assigned to a corresponding category based on a predetermined parameter. The method further includes determining the quality rating data as a function of a total number of MDAS utilizations, a corresponding coefficient for the corresponding utilization error category and a number of utilization errors in the corresponding error category.

Abstract: A hand-held or otherwise portable or spatial or temporal performance-based image capture device includes one or more lenses, an aperture and a main sensor for capturing an original main image. A secondary sensor and optical system are for capturing a reference image that has temporal and spatial overlap with the original image. The device performs an image processing method including capturing the main image with the main sensor and the reference image with the secondary sensor, and utilizing information from the reference image to enhance the main image. The main and secondary sensors are contained together within a housing.

Abstract: A device, system, and method perform lossy compression for images and signals by identifying regions with a low density of features. The method performed at a sensor communicatively connected to a receiver includes capturing sensor data. The method includes selecting a position in the sensor data. The method includes determining a local entropy of the position based on an entropy operation that indicates a probability distribution of a plurality of available values. When the local entropy is below a predetermined threshold, the method includes applying a first pre-processing operation to the position that averages features included in the position. The method includes transmitting the pre-processed sensor data corresponding to the position to the receiver.

Abstract: The disclosure relates to technology for processing images to detect LED on pulses within the images. An image processing device and method includes a fusion processor and process configured to receive the sequential long and short exposure images and output a fusion image including added corresponding regions of adjacent sequential long and short exposure images. The image processing device and method also includes an LED detection processor and method configured to receive the fusion image, a WDR image and the sequential long and short exposure images and output a control signal indicating whether each corresponding region includes an LED flicker or motion. The image processing device and method also includes a blending processor and method responsive to the control signal to generate a blended image for the sequential long and short exposure images.

Abstract: Disclosed is an electronic device and a method for sensing proximity in an electronic device, which reduces an error in sensing a proximity distance by considering a color of an object when sensing the proximity distance to the object based on an amount of light reflected from the object.

Abstract: An image processing apparatus including an input unit configured to input image data of a target frame, a first processing unit configured to perform a first processing for output image data of a reference frame related to the target frame, which is stored in the memory, to change positions of pixels in the output image data, an image processing unit configured to perform image processing for the image data of the target frame input by the input unit based on the output image data of the reference frame processed by the first processing unit, and a second processing unit configured to perform a second processing, the second processing being according to the first processing, for the image data of the target frame for which image processing has been performed by the image processing unit and to store the processed image data in the memory as output image data of the target frame.

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media for automatically synthesizing a content-aware fill using similarity transformed patches. A user interface receives a user-specified hole and a user-specified sampling region, both of which may be stored in a constraint mask. A brush tool can be used to interactively brush the sampling region and modify the constraint mask. The mask is passed to a patch-based synthesizer configured to synthesize the fill using similarity transformed patches sampled from the sampling region. Fill properties such as similarity transform parameters can be set to control the manner in which the fill is synthesized. A live preview can be provided with gradual updates of the synthesized fill prior to completion. Once a fill has been synthesized, the user interface presents the original image, replacing the hole with the synthesized fill.

Abstract: Techniques for generating maps without shadows are discussed herein. A plurality of images can be captured by a vehicle traversing an environment representing various perspectives and/or lighting conditions in the environment. A shadow within an image can be identified by a machine learning algorithm trained to detect shadows in images and/or by projecting the image onto a three-dimensional (3D) map of the environment and identifying candidate shadow regions based on the geometry of the 3D map and the location of the light source. Shadows can be removed or minimized by utilizing blending or duplicating techniques. Color information and reflectance information can be added to the 3D map to generate a textured 3D map. A textured 3D map without shadows can be used to simulate the environment under different lighting conditions.

Abstract: Embodiments relate to enhancing local contrast in an image. A bilateral high pass filter generates a high frequency value for each pixel of an input image, based on a convolution using photometric kernel coefficients associated with other pixels around the pixel. A noise control circuit generates a modulated high frequency value for the pixel based on a noise model for the image defining a noise threshold value for modifying the high frequency value. The modulated high frequency value for the pixel is then combined with a pixel value of the pixel to generate an enhanced value for the pixel. Enhanced values for pixels of the image may be generated to provide the local contrast enhancement for the input image.

Abstract: Methods and devices for reconstructing magnetic resonance images for contrasts are provided. In an example, the method includes: for each channel for each contrast, collecting k-space data of a subject in the channel by scanning the subject in an undersampling manner, collecting central k-space data by scanning a k-space central region of the subject in k-a fullsampling manner, training a convolution kernel of respective phase encoding lines in the channel based on the central k-space data of the contrasts, and obtaining entire k-space data in the channel based on the convolution kernel of respective phase encoding lines in the channel and collected k-space data in the channels, and obtaining a respective magnetic resonance image for each of the contrasts by performing image reconstruction on the entire k-space data in each channel for the contrast.

Abstract: Four or more seismic attributes are integrated or merged into imaging formats and displayed for geological interpretation via extended quantization. Multi-attribute integration and classification improves the ability to identify geologic facies, and reservoir properties such as thickness, fluid type, or fracture intensity and orientation. The extended quantization groups up to eight attributes as a single attribute for geophysical data classification. Data group reduction criteria are provided to reveal common geological targets in the data, while preserving small variations or thin layers often found in hydrocarbon reservoirs. By combining multiple attributes, image quality is enhanced while providing analysts the ability to observe channels that might not be visible in any single attribute.

Abstract: This application discloses a digital object unique identifier (DOI) recognition method and device. The method comprises: obtaining a code scanning image; graying the code scanning image to obtain a grayscale value of each pixel in the code scanning image; determining a DOI image in the code scanning image according to the grayscale value of each pixel in the code scanning image; and recognizing the DOI image.

Abstract: An image processing device to correct for wobble of an image constructed according to exemplary embodiments of the invention includes an input interface to communicate with an image capture sensor, and a motion vector detector to process first and second images received from the image sensor through the input interface, to detect, in the first image, feature points having feature values higher than a threshold value, and to compare the first image to the second image by using at least parts of the feature points to determine a global motion vector of the first image. The threshold value is adjustable depending on a gain of the image sensor.

Abstract: A memory-efficient filtering approach is used to code images and video. A buffer having a fixed size based on a size of processing units to use for filtering a video frame is allocated. For each of the processing units, pre-filtered pixel values are copied from a respective region of the video frame to the buffer based on a writing point for the video frame and an offset applied to the writing point, filtering is performed against the pre-filtered pixel values from the buffer to produce filtered pixel values, and the filtered pixel values are written to the video frame based on the writing point and the offset. The filtering may be performed using a loop restoration tool, such as where the pre-filtered pixel values are output from a constrained directional enhancement filter (CDEF) tool. Alternatively, the filtering may be performed using the CDEF tool or another coding tool.

Abstract: In an embodiment, a 3D facial modeling system includes a plurality of cameras configured to capture images from different viewpoints, a processor, and a memory containing a 3D facial modeling application and parameters defining a face detector, wherein the 3D facial modeling application directs the processor to obtain a plurality of images of a face captured from different viewpoints using the plurality of cameras, locate a face within each of the plurality of images using the face detector, wherein the face detector labels key feature points on the located face within each of the plurality of images, determine disparity between corresponding key feature points of located faces within the plurality of images, and generate a 3D model of the face using the depth of the key feature points.

Abstract: A device for decoding video data includes a memory configured to store the video data and one or more processors configured to receive a slice of the video data, parse an intra block copy (IBC) syntax element to determine that an IBC mode is enabled for the slice, parse a slice type syntax element associated with the slice to determine the slice is an I slice, and decode the slice as an I slice by decoding all blocks of the slice using intra prediction coding modes.

Abstract: In various embodiments, methods, systems, and computer program products for processing digital images captured by a mobile device are disclosed. The exemplary image processing techniques are coupled with inbound and outbound communications protocols and workflows configured to facilitate closed-loop processing, such that a method includes initiating a workflow; providing one or more of case information and raw data to the workflow; processing one or more of the case information and the raw data to generate a processing result; storing at least some of the case information in association with the processing result, wherein the associated case information acts as an identifier of the processing result; transmitting at least the processing result and the identifier; receiving, in response to the transmitting, a reply comprising the identifier; and retrieving at least the processing result using the identifier.