Abstract: A method is executed by an electronic device in a video streaming system including a macroblock detector. The method includes receiving a video stream from a video source, selecting a frame from the video stream, detecting edges in the frame of the video stream, generating straight lines from detected edges in the frame of the video stream, identifying squares in the straight lines in the frame with polygon approximation, and outputting an indication of a detected macroblock in the image in response to identifying at least one square with characteristics of a macroblock in the frame.

Abstract: Disclosed herein is an information processing apparatus including a first holding section configured to hold a first patch file, a second holding section configured to hold a first hash value of each data block in a second patch file including a plurality of data blocks each having a predetermined block size, a hash value calculating section configured to calculate a first hash value of data corresponding to the block size in the first patch file, and a comparing section configured to compare the first hash value calculated by the hash value calculating section with the first hash value of each data block held in the second holding section, as a first-stage comparison process.

Abstract: A method for improving image illumination of the present disclosure includes receiving images of original video data, classifying and arranging the images according to illumination for image enhancement processing of the original video data images, and generating high illumination images for an image region by processing the images using a neural network for image enhancement that is selected according to the illumination attribute of the classified images from among groups of neural networks for image enhancement, so as to reproduce a video having enhanced illumination. The neural network for image enhancement according to an embodiment of the present disclosure may be a deep neural network generated through machine learning, and input and output of images is performed in an Internet of Things (IoT) environment using a 5G network.

Abstract: A method for analyzing face information in an electronic device is provided. The method includes detecting at least one face region from an image that is being captured by a camera module, zooming in the at least one detected face region, and analyzing the at least one detected and zoomed in face region according to at least one analysis item.

Abstract: Systems and methods are disclosed for selecting target objects within digital images. In particular, in one or more embodiments, the disclosed systems and methods generate a trained neural network based on training digital images and training indicators. Moreover, one or more embodiments of the disclosed systems and methods utilize a trained neural network and iterative user indicators to select targeted objects in digital images. Specifically, the disclosed systems and methods can transform user indicators into distance maps that can be utilized in conjunction with color channels and a trained neural network to identify pixels that reflect the target object.

Abstract: An electronic device and method are disclosed. The electronic device includes a memory and processor, which implements the method, including: obtaining image data for an image, set in the image a region of interest and a background region, using depth information, both including one or more sub-regions, determining respective bokeh characteristics for the one or more first sub-regions and the one or more second sub-regions based on a first characteristic criterion and a second characteristic criterion, respectively, and processing the image to apply a bokeh effect to the plurality of pixels based on the respective bokeh characteristics for the one or more first sub-regions and the one or more second sub-regions.

Abstract: A communication system including a transmission device and a reception device is provided. A processor of the transmission device is configured to store image data on a transmission buffer after deleting all the stored image data in a case in which a first condition and a second condition are met. The processor is configured to store the image data without deleting the stored image data in a case in which at least one of the first condition and the second condition is not met. The first condition indicates that a second transmission-completion frame this time is after a previous first transmission-completion frame. The second condition indicates that a third transmission-completion frame is not the next frame of the transmission-completion second frame. The third transmission-completion frame is a frame of the image data to be stored after confirming the transmission-completion frame this time.

Abstract: An electronic apparatus includes a memory configured to store a plurality of images; and a processor configured to identify qualities of the plurality of images, process the plurality of images using at least one artificial intelligence model corresponding to the identified qualities, and obtain a graphic image including the processed plurality of images, and the at least one artificial intelligence model is trained to increase a quality of an input image.

Abstract: Methods, systems, and computer programs for generating cryptographic function parameters are described. In some examples, astronomical data from an observed astronomical event is obtained. A pseudorandom generator is seeded based on the astronomical data. After seeding the pseudorandom generator, an output from the pseudorandom generator is obtained. A parameter for a cryptographic function is generated by operation of one or more data processors. The parameter is generated from the output from the pseudorandom generator.

Abstract: A system and method are provided for optimizing histogram cumulative distribution function curves. In use, a first cumulative distribution function for a first histogram of a first pixel region of a first image is computed, and a first set of parameters for the first cumulative distribution function is extracted. A second cumulative distribution function for a second histogram of a second pixel region of the first image is computed, and a second set of parameters for the second cumulative distribution function is extracted. An interpolated cumulative distribution function comprising interpolated parameters calculated by interpolating between the first set of parameters and the second set of parameters is created. Additionally, a first equalized pixel in a second image based on a first input pixel in the first image and the interpolated cumulative distribution function is generated.

Abstract: The disclosure provides methods and image processing devices for image super resolution, image enhancement, and convolutional neural network (CNN) model training. The method for image super resolution includes the following steps. An original image is received, and a feature map is extracted from the original image. The original image is segmented into original patches. Each of the original patches is classified respectively into one of patch clusters according to the feature map. The original patches are processed respectively by different pre-trained CNN models according to the belonging patch clusters to obtain predicted patches. A predicted image is generated based on the predicted patches.

Abstract: An imaging method is provided that includes: taking an image of an object to generate an image signal of the object; generating a taken image of the object on a basis of the image signal; detecting motion information of the object on the basis of the image signal; taking an image of the object on a basis of the motion information multiple times so as to differentiate an exposure amount thereof; and generating an HDR synthetic image of the object on the basis of a plurality of image signals whose exposure amounts are different from each other.

Abstract: Image processing methods and apparatus are described. The image processing method comprises receiving input of a visible-ray image and an infrared-ray image obtained by photographing a same subject, estimating, based on the visible-ray image, the infrared-ray image and motion information, a blur estimate associated with the visible-ray image, and generating, based on the estimated blur estimate, a corrected visible-ray image.

Abstract: A signal output unit outputs an acquired signal. A signal attribute value display unit displays a value of an attribute related to an element constituting a target represented by the acquired signal or a signal generation source in a state in which a change instruction of the value of the attribute is able to be received. A changed attribute value acquisition unit acquires a changed value of the attribute when the change instruction of the value of the attribute is received. A change unit changes the value of the attribute for which the change instruction has been received on the basis of the changed value of the attribute acquired by the changed attribute value acquisition unit. A changed signal output unit outputs a changed signal in which the value of the attribute has been changed.

Abstract: Systems and methods may be provided that improve the application of Histogram Equalization (HE) transfer functions for converting image system source data to display compatible image frames. Histograms developed from source data may be measured and depending on their properties, the gain of the HE transfer function may be adaptively adjusted. In some embodiments the property measured is a histogram width.

Abstract: Embodiments of the present invention are directed to a noise-model based sensor converter configured to map a sensor measurement output to discrete, nonlinear steps of constant uncertainty. In a non-limiting embodiment of the invention, the sensor converter receives an output signal from a sensor. The output signal can include a measurement. The sensor converter can also receive a noise model. The output signal is mapped to a discrete set of steps based on the noise model. The discrete set of steps are nonlinearly spaced to provide constant uncertainty between adjacent steps. The sensor converter generates an output based on the discrete set of steps.

Abstract: A pixel value of a pixel in a picture of a video sequence is modified by a weighted combination of the pixel value and at least one spatially neighboring pixel value in a filtering. The filtering depends on a pixel distance between the pixel and a neighboring pixel and on a pixel value difference between the pixel and a neighboring pixel value of the neighboring pixel. The filtering is controlled by a spatial parameter and a range parameter. At least one of the spatial parameter and the range parameter depends on at least one of a quantization parameter, a quantization scaling matrix, a transform width, a transform height, a picture width, a picture height and a magnitude of a negative filter coefficient used as part of inter/intra prediction. The embodiments provide a deringing filtering to combat ringing artifacts during video coding.

Abstract: A system and method for constructing a digital composite image of a three-dimensional biological sample. The system includes an optical system that captures images of cells and tissue presented on a specimen slide. The system systematically acquires a stack of images at different segments across the specimen slide. For each segment, the system dynamically calculates an optimal focal plane. Once an optimal focal plane is determined for each of the stacks of images, the system generates a composite image by copying the sharpest objects from each of the optimal focal planes.

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: Embodiments of systems and methods as disclosed herein may determine that an initiator of a communication on a distributed computer network is an automated script or the like. More particularly, in one embodiment, a web page including a hidden field may be generated in response to a request for the web page. This hidden field is a field included in the web page that is not visible to a human user when the web page is rendered by a browser and presented to the user. By comparing a received value for such a hidden field with an associated value for the hidden field as provided in the web page, the use of an automated script may be detected.

Abstract: A facial image enhancement method includes: determining a plurality of feature regions in a facial image according to feature points of the facial image; correcting an initial enhancement weight coefficient of each feature region of the feature regions and obtaining a weight map of discrete enhancement on the facial image; obtaining a weight map of continuous enhancement on the facial image according to the weight map of discrete enhancement on the facial image; and performing enhancing the facial image according to the weight map of continuous enhancement on the facial image to obtain an enhanced facial image.

Abstract: A facial image enhancement method includes: determining a plurality of feature regions in a facial image according to feature points of the facial image; correcting an initial enhancement weight coefficient of each feature region of the feature regions and obtaining a weight map of discrete enhancement on the facial image; obtaining a weight map of continuous enhancement on the facial image according to the weight map of discrete enhancement on the facial image; and performing enhancing the facial image according to the weight map of continuous enhancement on the facial image to obtain an enhanced facial image.

Abstract: A method for recording an image. The method includes: detecting an area using a sensor and generating a map of the area having a predefined number of pixels, which indicate brightness values, and subdividing the map into blocks) having a predefined first size, creating an auxiliary map by scaling down the blocks to a predefined second size, which is smaller than the predefined first size, sorting the pixels of each block of the auxiliary map according to their brightness values, determining processing parameters for each block on the basis of the sorted pixels, with which the pixels of the associated block are processed in order to achieve a brightness maximization and/or a contrast maximization, interpolating a processing function from the processing parameters, and applying the processing function to the pixels of the map to generate the image.

Abstract: A shooting control apparatus obtains image data from an imaging unit that obtains the image data based on light from an imaging optical system and then detects an object and an orientation of the detected object from the image data. The apparatus controls a shooting direction of the imaging unit by controlling rotational driving of the imaging unit so that a position of the object in a field of view of the imaging unit changes based on the orientation of the object. The apparatus controls the shooting direction, in a case where the object faces in a first direction, so that a distance between an edge of the field of view on a first direction side and the object to be greater than a distance therebetween in a case where the object faces forward.

Abstract: A display apparatus performs predetermined image processing on at least one image data item among the plurality of image data items, does not perform the predetermined image processing on at least another one image data item among the plurality of image data items, and to cause a display unit to display the plurality of image data items, if (A) it is determined, on the basis of meta-information associated with the plurality of image data items, that the plurality of image data items are image data items that have been output from a single image output apparatus, or if (B) it is determined that a display mode is set in which a plurality of image data items are to be displayed, the plurality of image data items including a first image data item and a second image data item generated by duplicating the first image data item.

Abstract: Methods and apparatus for image processing are provided. The method comprises receiving input of a visible-ray image and a far-infrared-ray image obtained by photographing a same subject, estimating a blur estimation result in the visible-ray image, wherein estimating a blur estimation result comprises calculating a correlation between the visible-ray image and each of a plurality of filter-applied far-infrared ray images in which a different filter is applied to the far-infrared-ray image and selecting the filter for which the calculated correlation is highest, and performing a correction process on the visible-ray image based, at least in part, on the blur estimation result to generate a corrected visible-ray image from which the blur is reduced, wherein generating the corrected visible-ray image comprises applying, to the visible ray image, an inverse filter having an inverse characteristic to a characteristic of the selected filter.

Abstract: A display device includes a display panel and a panel driver configured to drive the display panel. The panel driver receives input image data corresponding to first, second, and third colors at an input frame frequency, and detects whether the input image data represent a still or dynamic image. If the input image data represent the dynamic image, the panel driver drives the display panel at a first output frame frequency substantially the same as the input frame frequency. If the input image data represent the still image, the panel driver calculates a plurality of flicker indexes of the still image for at least two of the first, second, third colors, one or more combinations of the first, second, and third colors, and drives the display panel at a second output frame frequency that is determined based on the plurality of flicker indexes.

Abstract: In some examples, a system selects a spanning region of an image spanning an intersection between 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 respective modified adjacent sub-images. Print data to cause a printing device to print the respective modified adjacent sub-images is generated on the basis of the dividing.

Abstract: An imaging device and method with improved white balance control are disclosed. An image of an object is captured by an imaging element that includes a plurality of pixel output units that receives incident light that is incident without passing through either of an imaging lens and a pinhole. Each pixel output unit outputs one detection signal indicating an output pixel value modulated by an incident angle of the incident light, and on the basis of a detection signal acquired by the image capturing and acquired in the pixel output units, a white balance coefficient that is used for correcting a white balance of a restored image restored from the detection signal is set. The present disclosure can be applied to, for example, an imaging element, an imaging device, an image processing device, an electronic device, a system, or the like.

Abstract: A video display device that acquires video information including various signals required to display a video from an external device and displays a video based on the video information on a display screen includes: an operation receiving unit configured to receive an operation; an extraction unit configured to extract a signal of which a change in a signal value before and after the video information has changed is greater than a threshold value out of the various signals in case that the video information has changed and the operation is received by the operation receiving unit; an identification unit configured to identify an adjustment item of the display screen corresponding to the signal extracted by the extraction unit; and an adjustment unit configured to adjust a set value of the adjustment item identified by the identification unit.

Abstract: A space efficient automated processing system for processing objects is disclosed. The processing system includes an input conveyance system for moving objects from an input area in at least an input conveyance vector that includes an input conveyance horizontal direction component and an input conveyance vertical direction component, a perception system for receiving objects from the input conveyance system and for providing perception data regarding an object, a primary transport system for receiving the object from the perception system and for providing transport of the object along at least a primary transport vector including an primary transport horizontal component and a primary transport vertical component that is generally opposite the input conveyance horizontal direction component, and at least two secondary transport systems, each of which receives the object from the primary transport system and moves the object in either of reciprocal directions.

Abstract: A vehicle monitoring system includes at least one camera, and a server that is communicably connected to a client terminal. The camera performs capturing a vehicle while switching a first capturing condition including an image parameter for capturing a number of the vehicle entering an angle of view of the camera and a second capturing condition including an image parameter for capturing an occupant's face of the vehicle, and transmits a first captured video under the first capturing condition and a second captured video under the second capturing condition to the server. The server arranges reproduction screens for the first captured video and the second captured video that are reproduceable in the client terminal and displays the reproduction screens on the client terminal based on the first captured video and the second captured video.

Abstract: Devices, methods, and computer-readable media describing an adaptive approach to reference image selection are disclosed herein, e.g., to generate fused images with reduced motion distortion. More particularly, an incoming image stream may be obtained from an image capture device, which image stream may comprise a variety of different image captures, e.g., including “image frame pairs” (IFPs) that are captured consecutively, wherein the images in a given IFP are captured with differing exposure settings. When a capture request is received at the image capture device, the image capture device may select two or more images from the incoming image stream for fusion, e.g., including at least one IFP. In some embodiments, one of the images from the at least one IFP will be designated as the reference image for a fusion operation, e.g., based on a robust motion detection analysis process performed on the images of the at least one IFP.

Abstract: An eyewear device that adjusts aspects of a displayed object as a function of a user's eyeglass prescription. A detector identifies object edges for displayed far objects. A correction chart stores brightness corrections as a function of eyeglass prescriptions. The object edges are brightened as a function of the brightness corrections to sharpen objects displayed for a user with nearsightedness and/or farsightedness.

Abstract: Exemplary systems and methods are directed to generating synthetic data for computer vision. A processing device generates a synthetic three-dimensional (3D) image of an object. A background image is selected, and a composite image is generated by combining the 3D image of the object and the background image. The processing device simulates: reflection or emission of at least one type of radiant energy from the surface of the object and/or the background according to a set of parameters associated with at least one of the object and the background image; and a reflectance or emittance measurement of the at least one type of radiant energy from the surface of the object by a sensor device configured for detecting the at least one type of radiant energy. The processing device generates a plurality of two-dimensional (2D) simulated images of different perspectives of the object based on simulation data.

Abstract: The invention discloses a method for evaluating a brightness measurement accuracy of a Demura equipment by generating a noise-added image by adding a random number to an original grayscale image and obtaining a measurement value corresponding to the added random number via the noise-added image displayed by the Demura equipment. The brightness measurement accuracy of the Demura equipment is evaluated based on a correlation between the measured value and the originally added random number to measure a brightness extraction performance of the Demura equipment. The method provided by the invention provides a quantitative and measurable determining method that may better reflect the actual performance of the Demura equipment.

Abstract: An imaging device includes a pixel unit where pixels including photoelectric converters are arranged, and a signal processing unit that processes signals from the pixel unit. The pixel unit includes a first region including pixels each driven in a first mode to read a signal based on charge generated by the photoelectric converters and a second region including the pixels each driven in a second mode to read more signals than in the first mode including a signal based on charges generated by a part of the photoelectric converters and a signal based on charges generated by the photoelectric converters. The signal processing unit calculates a first correction value based on an average of a first data group from the first region and a second correction value based on an average of a second data group from the second region by using the first correction value as an initial value.

Abstract: A semiconductor device with a small circuit area that consumes low power is provided. The semiconductor device includes a shift register, a sample-and-hold circuit, a first buffer circuit, and a second buffer circuit. The sample-and-hold circuit includes a first input terminal, a second input terminal, and an output terminal. An output terminal of the first buffer circuit is electrically connected to the first input terminal. The shift register is electrically connected to the second input terminal. An input terminal of the second buffer circuit is electrically connected to the output terminal of the sample-and-hold circuit. In the semiconductor device, the potential of an input analog signal is retained in the sample-and-hold circuit and the analog signal is output from an output terminal of the second buffer circuit.

Abstract: Facial skin mask generated by a digital content creation system is described. The digital content creation system includes digital effects on skin in facial regions of digital content with efficiency and accuracy. Upon identifying a facial region within digital content, the system generates a first regional skin mask, a second regional skin mask, and combines both of the first and second regional skin masks to generate a facial skin mask indicative of skin of the identified facial regions depicted in digital content. The digital content creation system then modifies digital content by applying user selected digital effects to the skin of the facial region using the generated facial skin mask.

Abstract: An example of the present disclosure provides methods, apparatuses and devices for magnifying a feature map, and a computer readable storage medium. The method includes: receiving a source feature map to be magnified; obtaining N reassembly kernels corresponding to each source position in the source feature map by performing convolution on the source feature map, wherein N refers to a square of a magnification factor of the source feature map; obtaining, for each of the reassembly kernels, a normalized reassembly kernel by performing normalization; obtaining, for each source position in the source feature map, N reassembly features corresponding to the source position by reassembling features of a reassembly region determined according to the source position with N normalized reassembly kernels corresponding to the source position; and generating a target feature map according to the N reassembly features corresponding to each source position in the source feature map.

Abstract: The present disclosure provides a classification method and a classification device of an indoor scene. The classification method includes steps: receiving an input scene picture to be classified; obtaining a current local observation area from the scene picture to be classified according to a observation area positioning model; processing image information of the current local observation area to obtain a feature vector; obtaining a classification prediction result according to the feature vector; determining Whether the classification prediction result satisfies a predetermined scene picture classification condition; if not, obtaining a next local observation area from the scene picture to be classified and setting the next local observation area to be the current local observation area, then skipping to the step of processing the image information of the current local observation area; if yes, obtaining a classification label of the scene picture to be classified.

Abstract: A projection display apparatus includes a processing circuit and an image projection display device. The processing circuit is configured to perform a dynamic motion compensation based on two successive first frame and second frame in a first video signal, in order to generate a complement frame between the first frame and the second frame. The processing circuit is further configured to combine the first frame and the complement frame into a third frame, and to decompose the third frame to generate a plurality of fourth frames and to output the fourth frames as a second video signal. A resolution of the first video signal is higher than a resolution of the second video signal. The image projection display device is configured to project and display the second video signal, in which the imaging device has an original resolution equal to the resolution of the second video signal.

Abstract: Provided is a data processing apparatus for calculating confidence coefficient data to indicate a confidence of pixel values of a second image data. The apparatus acquires similarity between a pixel value of a first pixel of the first image data corresponding to a target pixel of the confidence coefficient data, and each pixel value of a plurality of second pixels around the first pixel. The apparatus acquires the confidence coefficient by determining an estimated pixel value in the third pixel of the second image data corresponding to the first pixel, based on the similarity of each of the plurality of second pixels, each pixel value of the plurality of fourth pixels around the third pixel and the pixel value of the third pixel and by comparing the pixel value of the third image and the estimated pixel value in the third pixel.

Abstract: Non-limiting examples of the present disclosure describe processing by a contextual image analysis service that generates and surfaces contextually relevant data objects based on entities identified from image content. In one example, image content is analyzed and entity annotations are generated for the image content. The entity annotations may be converted to queries. Raw search results may be identified based on the converted queries. The raw search results may be filtered based on one or more specific content types. A contextual representation is generated based on the filtered raw search results, where the contextual representation comprises the image content and one or more contextually relevant data objects for at least one entity associated with the image content. The exemplary contextual representation of the image content and the one or more contextually relevant data objects may be surfaced through a user interface of an application/service.

Abstract: An image capturing apparatus includes a light receiving sensor including two-dimensionally arranged pixels and configured to photoelectrically convert a pair of object images and to output a first image signal and a second image signal, each of the first image signal and the second image signal corresponding to a respective object image of the pair of object images; a calculation unit configured to calculate a first phase difference between the first image signal and the second image signal in the first direction and a second phase difference in a second direction; a focus detection unit configured to calculate a first focus detection result based on the first phase difference; and a determination unit configured to determine presence or absence of heat haze based on the second phase difference.

Abstract: Provided is an image processing method including determining an edge region based on contrast of values of pixels included in an image; identifying an outline region in the edge region according to distribution characteristics of values of pixels included in the edge region; and, as the outline region is identified, performing blurring processing for reducing contrast of values of pixels included in at least a portion of the outline region.

Abstract: According to some embodiments, a camera captures a plurality of images of substantially the same scene at different exposure levels for each video frame to be captured. These images are then deghosted, merged or fused, and processed using a spatially, and optionally also temporally, varying tonemapping operator, and the resulting image after some further finishing is written into a video stream. In some embodiments, this processing is performed in real time on a graphics processing unit present in the device containing the camera. Other applications are shown and discussed.

Abstract: Techniques for atmospheric and solar correction of aerial images are described. An apparatus may comprise an atmospheric and solar component arranged for execution by a logic device and operative to correct solar and atmosphere artifacts from an aerial image. The atmospheric and solar component may comprise an image information component operative to generate an image record for each aerial image of a group of aerial images, the image record comprising statistical information and image context information for each aerial image, a filter generation component operative to generate an atmospheric filter and a solar filter from the statistical information and the image context information stored in the image records, and an image correction component operative to correct atmospheric and solar artifacts from the aerial image using the respective atmospheric filter and solar filter. Other embodiments are described and claimed.

Abstract: A display apparatus according to the present invention includes: a display unit configured to display an image based on input image data on a screen; and a control unit configured to execute control to reduce an upper limit value of a display brightness range of a second area, which is different from a first area, of the screen of the display unit below an upper limit value of a display brightness range of the first area of the screen of the display unit, so that a power consumption of the display unit does not exceed a predetermined power consumption.

Abstract: Provided is a configuration to make a virtual viewpoint image be a more natural stereoscopic image. The virtual viewpoint image is transmitted/received between information processing apparatuses that execute bidirectional communication. A processor calculates a virtual viewpoint position corresponding to a position of a virtual camera that captures a virtual viewpoint image on the basis of viewing position information of a viewing user of the virtual viewpoint image, and generates the virtual viewpoint image corresponding to a captured image from the virtual viewpoint position. The virtual viewpoint image is generated based on the captured image of a real camera that captures an object user, and the virtual viewpoint image is generated by setting a capture direction of a virtual camera to a point C, wherein the point C is in a position different from the object user.