Abstract: Low power event driven pixels and reset control circuits for the same are disclosed herein. In one embodiment, an event driven pixel comprises a photosensor; a photocurrent-to-voltage converter coupled to the photosensor; and a difference circuit coupled to the photocurrent-to-voltage converter. The difference circuit includes a source follower transistor and is configured to generate a signal at a gate of the source follower transistor that is based on a voltage output from the photocurrent-to-voltage converter. The difference circuit is further configured to output a difference signal in response to assertion of a row select signal. The event driven pixel can further include a reset control circuit coupled to the difference circuit and configured to initialize the difference circuit, and to reset the difference circuit when the difference signal output from the event driven pixel indicates a change in the voltage greater than a threshold amount.

Abstract: An audio recording apparatus provided with a heat radiation fan comprises at least one processor and/or circuit configured to function as following units: an acquiring unit configured to acquire a type of microphone used to record audio; a control unit configured to control a rotation frequency for driving the heat radiation fan; and a recording unit configured to record audio acquired by the used microphone, wherein the control unit changes the rotation frequency of the heat radiation fan according to the type of the used microphone acquired by the acquiring unit.

Abstract: A meter monitoring system (200) includes: a wireless gateway (202), a monitoring device (201), and at least one meter recognition apparatus (100). The meter recognition apparatus (100) includes: an image acquirer (1), a processor (2), and a wireless transceiver (3). The image acquirer (1) is configured to acquire images of a display side of a monitoring meter (4) at set time intervals. The processor (2) is coupled to the image acquirer (1) and configured to determine, according to an image of the images acquired by the image acquirer (1) and based on an image processing algorithm, monitoring data displayed by the monitoring meter (4). The wireless transceiver (3) is coupled to the processor (2) and configured to send the monitoring data determined by the processor (2) to the wireless gateway (202). The wireless gateway (202) is configured to transmit the received monitoring data to the monitoring device (201).

Abstract: An imaging device is provided with a pixel array section including multiple pixels arranged in a matrix of rows and columns, and a column signal processor. The multiple pixels include multiple imaging pixels that each output a pixel signal corresponding to incident light and multiple reference pixels which are aligned in the column direction in at least two columns and which each output a reset signal corresponding to the output signal at reset of each of the multiple first pixels. The column signal processor outputs the difference between the pixel signal outputted by one imaging pixel from among the multiple imaging pixels and a reference signal based on the reset signals outputted by at least two reference pixels, from among the multiple reference pixels, located in the same row as the one imaging pixel.

Abstract: A method performed by an electronic device with one or more processors and memory includes receiving a plurality of frames of an image; selecting one frame of the plurality of frames as a main frame thereby leaving the rest of the plurality of frames as reference frames; aligning the reference frames with the main frame; determining fusion weights for a respective reference frame of the reference frames by comparing the main frame and the respective reference frame; and obtaining a weighted combination of the main frame and the reference frames based on the fusion weights. An electronic device configured for performing the method and a computer readable storage medium storing instructions for performing the method are also disclosed.

Abstract: An imaging system comprising a phase-detection image sensor comprising a plurality of phase-detection pixel units and a processor configured to: interpolate a green image to obtain a full resolution interpolated green image including defocused portions having artifacts and in-focus portions having sharp image, low-pass filter the full resolution interpolated green image to obtain a blurred image of the interpolated green image, combine the full resolution interpolated green image and the blurred image of the full resolution interpolated green image to obtain a corrected full resolution interpolated green image, where the artifacts of the defocused portions of the full resolution interpolated green image are removed, and the sharp image of the in-focus portions of the full resolution interpolated green image is unaffected.

Abstract: A method for displaying a graphic object on an image is provided. The method includes the steps of: acquiring, with respect to a first graphic object inputted by a user onto a first image of a person's posture, attribute information of the first graphic object that defines the first graphic object; deriving, on the basis of a feature point detected from each of the first image and a second image of a person's posture, a transformation model that defines a transformation relationship between the attribute information of the first graphic object and attribute information of a second graphic object to be displayed on the second image in correspondence to the first graphic object; and displaying, on the basis of the transformation model, the second graphic object at a position on the second image corresponding to a position of the first graphic object on the first image.

Abstract: Pixel values are read out of an OB pixel region under a predetermined exposure condition, and predetermined processing is performed on the pixel values to derive a dark current component value. The dark current component value of a segmented pixel region is estimated from the OB dark current component value by taking into account the difference between the exposure conditions of the OB pixel region and the segmented pixel region. Specifically, a conversion ratio for calculating the dark current component value from the OB dark current component value is derived based on the ratios between exposure time and gain in the exposure conditions of the two pixel regions. This conversion ratio is applied to the pixel values of the OB pixel region or the OB dark current component value calculated from them to thereby calculate an estimated dark current component value for the exposure condition of the segmented pixel region.

Abstract: The semiconductor device includes a first semiconductor component including a first circuit section and an interconnection connected to the first circuit section, and a second semiconductor component including a second circuit section and a third circuit section and stacked on the first semiconductor component. The interconnection is electrically connected to a first connecting portion and a second connecting portion of a plurality of connecting portions for electrically connecting the first semiconductor component and the second semiconductor component. The second circuit section is electrically connected to the interconnection via the first connecting portion. The third circuit section is electrically connected to the interconnection via the second connecting portion.

Abstract: An image acquisition apparatus includes: a first image sensor configured to acquire a first image based on a first wavelength band; a second image sensor configured to acquire a second image based on a second wavelength band of 10 nm to 1,000 nm, and a processor configured to register the first image and the second image, which are respectively output from the first image sensor and the second image sensor, to obtain a registration image based on the first image and the second image, and perform color conversion on the registration image by using an illumination value estimated from the second image.

Abstract: The present disclosure generally relates to embodiments for video communication interface for managing content that is shared during a video communication session.

Abstract: A white balance processing method and an electronic device are provided. The method includes: obtaining a first image in response to a first operation, where the first image is an image of a first color space captured by a multispectral color filter array sensor; performing decomposition processing and demosaicing processing on the first image to obtain a second image and a third image; obtaining a color correction matrix according to the second image and the third image, where the color correction matrix represents a pixel change amount of transforming the second image into the third image; inputting the color correction matrix into a white balance model to obtain a white balance parameter; and performing image processing on the first image according to the white balance parameter to obtain a fourth image.

Abstract: Example embodiments relate to microlensing for real-time sensing of stray light. An example device includes an image sensor that includes a plurality of light-sensitive pixels. The device also includes a first lens positioned over a first subset of light-sensitive pixels selected from the plurality of light-sensitive pixels. Further, the device includes a controller. The controller is configured to determine a first angle of incidence of a first light signal detected by the first subset of light-sensitive pixels. The controller is also configured to, based on the first determined angle of incidence, determine an amount of stray light incident on the image sensor.

Abstract: An image evaluation method, including: obtaining a test image including a first lattice pattern formed by image edges; aligning the test image using the image edges to generate an aligned image including a second lattice pattern formed by aligned image edges; generating a compressed image by compressing the aligned image; and generating a quantified result by quantifying a per-pixel difference between the compressed image and the aligned image.

Abstract: A monitoring camera includes an imaging unit configured to capture an image of an imaging area, and a processor configured to determine a first intensity and a second intensity to be different from each other. The first intensity indicates an intensity of a noise reduction processing executed on an attention portion in the captured image of the imaging area, and the second intensity indicates an intensity of a noise reduction processing executed on a non-attention portion in the captured image. The first intensity is lower than the second intensity. The processor is configured to execute the noise reduction processing on the attention portion based on the determined first intensity, to execute the noise reduction processing on the non-attention portion based on the determined second intensity, and to output an image after the noise reduction processing.

Abstract: Systems, devices, media and methods are presented for presentation of modified objects within a video stream. The systems and methods select an object of interest depicted within a user interface based on an associated image modifier, determine a modifier context based at least in part on one or more characteristics of the selected object, identify a set of image modifiers based on the modifier context, rank a first portion of the identified set of image modifiers based on a primary ordering characteristic, rank a second portion of the identified set of image modifiers based on a secondary ordering characteristic and cause presentation of the modifier icons for the ranked set of image modifiers.

Abstract: An image fusion method and device is disclosed, which includes: obtaining a first short-focus image and a first long-focus image acquired by a short-focus sensor and a long-focus sensor at the same time; calculating a reduction coefficient corresponding to the first long-focus image when the sizes of the same target in the first long-focus image and the first short-focus image are matched; performing a reduction processing on the first long-focus image according to the reduction coefficient to obtain a second long-focus image; according to a relative angle of the current long-focus lens and short-focus lens, calculating a position of the second long-focus image in the first short-focus image when the positions of the same target in the second long-focus image and the first short-focus image are matched; and covering the first short-focus image by the second long-focus image to obtain a fused image.

Abstract: An image processing apparatus includes at least one processor or circuit configured to execute a plurality of tasks including an image acquiring task configured to acquire a first image and a second image that have been obtained by imaging at imaging positions different from each other, an image restoration processing task configured to acquire a first restored image and a second restored image by performing image restoration processing for the first image and the second image respectively, and a pixel increasing processing task configured to acquire a pixel increased image using the first restored image and the second restored image.

Abstract: An image sensor includes: a plurality of pixels each having a photoelectric conversion unit that converts incident light into an electric charge, the incident light being incident from one side of a substrate, and an output unit that outputs a signal caused by the electric charge, the plurality of pixels being arranged in a first direction and a second direction intersecting the first direction; and an accumulation unit provided to be stacked on the photoelectric conversion unit on a side opposite to the one side of the substrate, the accumulation unit accumulating the signal.

Abstract: An image sensor includes a pixel array including a first pixel and a second pixel which are connected to a same column line, the first pixel including 2N sub-pixels sharing a first floating diffusion node and the second pixel including 2N sub-pixels sharing a second floating diffusion node, wherein N is a positive integer greater than or equal to two, a timing generator configured to change a reset order and a readout order of 4N sub-pixels included in the first pixel and the second pixel, according to an exposure time setting value, and output a row address according to the changed orders, and a row driver configured to drive the pixel array based on the row address.

Abstract: A camera mount, comprising: a body, one or more magnets, and one or more pins. The one or more magnets located within the body and configured to connect to a magnetic portion or a ferromagnetic portion of a camera. The one or more pins that extend axially outward from the body above the one or more magnets and are configured to extend into recesses within the camera.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a machine learning model configured to generate a predicted depth image, comprising receiving data representing training samples that include a plurality of image pairs, each image pair includes a target image and a reference image both capturing a particular scene from different orientations; for each of the plurality of image pairs, generating a compressed cost volume for the image pair; providing the compressed cost volume as an input to the machine learning model; generating, using the machine learning model, output data representing a predicted disparity map for the compressed cost volume; and generating a total loss using the predicted disparity map for the compressed cost volume, the total loss includes a boundary loss, an occlusion loss, and a transfer loss; and updating the plurality of parameters of the machine learning model by minimizing the total losses.

Abstract: The present disclosure generally relates to systems and methods for image data processing. In certain embodiments, an image processing pipeline may be configured to receive a frame of the image data having a plurality of pixels acquired using a digital image sensor. The image processing pipeline may then be configured to determine a first plurality of correction factors that may correct each pixel in the plurality of pixels for fixed pattern noise. The first plurality of correction factors may be determined based at least in part on fixed pattern noise statistics that correspond to the frame of the image data. After determining the first plurality of correction factors, the image processing pipeline may be configured to apply the first plurality of correction factors to the plurality of pixels, thereby reducing the fixed pattern noise present in the plurality of pixels.

Abstract: An image recognition device includes an image acquisition unit, a composite image generating unit, and a pattern information generating unit. The image acquisition unit is configured to acquire a plurality of pieces of image data captured in accordance with a passage of time. The composite image generating unit is configured to generate composite image data in which the plurality of pieces of image data are arranged. The pattern information generating unit is configured to generate pattern information that is information on a change pattern of each of the pieces of image data in accordance with the passage of time by acquiring a CNN model that is a trained convolutional neural network model and inputting input data that is based on the composite image data to the acquired CNN model. The pattern information indicates whether flicker occurs in an image of the image data.

Abstract: The present technology relates to an image sensor. The image sensor according to an embodiment may include a pixel array in which a plurality of pixels are connected through common lines, an internal amplifier configured to amplify a signal of a target pixel selected from among the plurality of pixels, switches configured to control a connection between the target pixel and floating diffusion nodes of candidate pixels having the same column address as the target pixel among the plurality of pixels, and a controller configured to output control signals for controlling the switches.

Abstract: A digital X-ray detector includes a width of a data line or a gate line extending across a dummy pixel area is smaller than a width of the data line or the gate line extending across an active area, a width of a dummy gate line or a dummy data line extending across the dummy pixel area is smaller than a width of the gate line or the data line extending across the active area, so that static electricity generated during a manufacturing process does not randomly flow into the active area, but rather flows into the dummy pixel area having the lowest capacitance, and the static electricity may be guided not to the active area but to the dummy gate line or dummy data line in the dummy pixel area, thereby minimizing line defects or block luminance deviation defects caused by the static electricity generated during the manufacturing process.

Abstract: A computer vision processing device is provided which comprises memory configured to store data and a processor. The processor is configured to store captured image data in a first buffer and acquire access to the captured image data in the first buffer when the captured image data is available for processing. The processor is also configured to execute a first group of operations in a processing pipeline, each of which processes the captured image data accessed from the first buffer and return the first buffer for storing next captured image data when a last operation of the first group of operations executes.

Abstract: A photoelectric conversion device comprising a pixel array that includes pixels each generates a signal via photoelectric conversion arranged in rows and columns, is disclosed. The device also comprises a plurality of determination circuits that perform determination of an amplitude of signals read out from the pixel array via different vertical signal lines. The device further comprises a shared signal line shared by the plurality of determination circuits that transmits results of the determination from the plurality of determination circuits to a circuit inside the photoelectric conversion device.

Abstract: In an embodiment, a makeup application system includes: a projector (22) configured to project digital content including a makeup application tutorial onto the user's facial surface; and a dynamic mapping unit (24); (30) operably coupled to the projector, wherein the dynamic mapping unit is configured to establish a dynamic correspondence between pixels of the projector (22) and features of the user's facial surface.

Abstract: The present disclosure discloses a camera control method, a device, a storage medium and an electronic equipment includes: detecting a change trend of a focus distance of a first camera operating in the foreground, determining a second camera corresponding to the change trend of the focus distance, activating the second camera in the background, and switching the second camera to operate in the foreground when the real-time focus distance of the first camera is within a focus distance interval of the second camera.

Abstract: The invention relates to a digital viewing device, comprising at least one camera module, consisting of an objective (2) having a focal length fobj and an image sensor (3) having an image diagonal dSensor, and at least one electronic viewfinder, consisting of an eyepiece (9) having a focal length fOku, an image processor (5), a power supply (7) and an electronic display (10) having an image diagonal yDisplay, characterised in that to correct distortion of the image generated on the display the image processor contains at least one computer program with distortion correction algorithms and the computer program can be switched on by means of an activating element (6).

Abstract: An image restoration method includes determining an anchor image based on individual images of a burst image set, executing a feature extraction network based on the burst image set while using anchor information of the anchor image, and generating a restored image based on a feature map corresponding to an output of the feature extraction network.

Abstract: A method for authenticating an individual for login to a server computer includes receiving at the server computer data for a first authentication image from an electronic computing device. First attributes are identified of one or more similar geometrical shapes from the data for the first authentication image. A determination is made as to whether the first attributes of the one or more similar geometrical shapes from the data for the first authentication image correspond to second attributes from a second authentication image accessible on or by the server computer. When the first attributes correspond to the second attributes, the individual is authenticated on the server computer.

Abstract: A method and device with synthetic image generation is included. A method includes acquiring a first image captured by a first camera and second images captured by a second camera having a narrower field of view (FOV) when the second images are captured thereby than that of the first camera when the first image is captured thereby. The method also includes detecting respective blur statuses of each of the second images, selecting a region of the first image on the basis of the region corresponding to a second image, of the second images, selected based on a determination that the blur status of the second image satisfies a blur condition, and generating a synthetic image by synthesizing together the selected region of the first image and the second images not including the selected second image.

Abstract: A positioning method and device, the method including: extracting multiple light spots from a current image frame, wherein the current image frame is an image currently collected by an extended reality device; determining an interference light spot in the multiple light spots according to information about a historical interference light spot, and removing the interference light spot in the multiple light spots, recognizing whether there is a light spot of a luminous light source in remaining light spots after removing the interference light spot, wherein the luminous light source is a light source set on a human-computer interaction apparatus, and the human-computer interaction apparatus is used for a user to interact with the extended reality device; determining a current pose of the human-computer interaction apparatus according to the light spot of the luminous light source recognized in the remaining light spots.

Abstract: An image processing apparatus includes an extraction unit that extracts, from among a plurality of designated regions in which labels of classes are designated, complicated regions which are regions of at least a part of the designated regions and are regions having relatively complicated contours, in an annotation image given as learning data to a machine learning model for performing semantic segmentation in which a plurality of the classes in an image are discriminated on a per-pixel basis, and a setting unit that sets additional labels for the complicated regions separately from original labels originally designated for the annotation image.

Abstract: The present invention discloses an image processing method. The image processing method includes the following steps: (a), a to-be-processed image is corrected as a first correction image according to a first mapping relationship along a correction direction; (b) the first correction image by an angle is rotated; and (c) the rotated first correction image is corrected as a second correction image according to a second mapping relationship along the same correction direction. In embodiment, given that the to-be-processed image is deformed along two different directions, the to-be-processed image is corrected along the same correction direction, such that correction complexity could be reduced.

Abstract: A device includes an offset subtraction unit; an image sensor which receives, for each of a plurality of bright frames, a respective image signal obtained during a respective exposure time of the image sensor, and transmits the same to the offset subtraction unit, and receives, for a dark frame, a respective image signal obtained during a respective exposure time of the image sensor, and transmits the same to the offset subtraction unit; and a control unit which ensures that the image sensor alternately transmits a number of bright frames and one dark frame to the offset subtraction unit. An amount of light by which the respective image signal for each of the bright frames is generated is larger than an amount of light by which the respective image signal for the dark frame is generated; and the offset subtraction unit obtains an offset and subtracts the offset from a signal.

Abstract: Embodiments of the present invention relate to an image processing method and apparatus for a camera module in a night scene, an electronic device, and a storage medium. The method includes: obtaining a multi-frame target image; performing first noise reduction processing on each frame of target image in the multi-frame target image, to obtain intra-frame processing results of the multi-frame target image; performing second noise reduction processing on any two adjacent frames of target images in the multi-frame target image, to obtain inter-frame processing results; and generating an enhanced night scene effect image of the target image according to the intra-frame processing result and the inter-frame processing result.

Abstract: A method to, is provided for collecting an image from a sample. The method includes selecting a radiation level for a first probe to meet a desired radiation dosage, and providing, with the first probe, a radiation at a selected point within a region of the sample. The method includes identifying a second selected point within the region of the sample based on a down sampling scheme, and providing a second radiation amount at the second selected point within the region of the sample. The method also includes interpolating a first datum and a second datum based on an up sampling scheme to obtain a plurality of data, and forming an image of the region of the sample with the plurality of data. A system to perform the above method and including the first probe is also provided.

Abstract: The present disclosure describes systems, non-transitory computer-readable media, and methods for accurately and efficiently removing objects from digital images taken from a camera viewfinder stream. For example, the disclosed systems access digital images from a camera viewfinder stream in connection with an undesired moving object depicted in the digital images. The disclosed systems generate a temporal window of the digital images concatenated with binary masks indicating the undesired moving object in each digital image. The disclosed systems further utilizes a generator as part of a 3D to 2D generative adversarial neural network in connection with the temporal window to generate a target digital image with the region associated with the undesired moving object in-painted. In at least one embodiment, the disclosed systems provide the target digital image to a camera viewfinder display to show a user how a future digital photograph will look without the undesired moving object.

Abstract: An apparatus includes at least one processor configured to execute a plurality of tasks including a first normal acquiring task configured to acquire first normal information of an object, a designated area acquiring task configured to acquire a designated portion in the object, the designated area being designated by a user, a second normal acquiring task configured to acquire second normal information of the object, the second normal information being normal information having a lower frequency than a frequency of the first normal information, a virtual light source determining task configured to determine a virtual light source condition based on the second normal information corresponding to the designated portion, and a rendering task configured to generate a rendering image using the first normal information and the virtual light source condition.

Abstract: Aspects of embodiments pertain to a method for reducing a subjective visual artefact when displaying binocular overlapping images to a user of a binocular display system, the method comprising generating, by an image display unit comprising a plurality of pixels elements, right and left-eye source images; projecting the right and left-eye source images via corresponding left and right viewing optics to its user such that the user perceives partially overlapping left and right-hand observation images; reducing, a perception of a subjective visual artefact in the perceived right and/or left-hand observation images by modifying one or more pixel and/or image parameters values relating to the left and/or right-hand source images.

Abstract: When swinging of a camera does not follow a motion of a subject in following-photographing, the position of the subject deviates among a plurality of images, and thus there is a problem that the subject that is moving is blurred. An image processing apparatus includes: a standard region designation unit configured to designate a partial region in an image as a standard region; a standard region motion blur setting unit configured to set a motion blur in the standard region designated by the standard region designation unit as a predetermined motion blur; and a motion blur adjustment unit configured to adjust a motion blur in the standard region so that the motion blur becomes the predetermined motion blur and adjust a motion blur on a screen of a region different from the standard region in accordance with the adjusting of the motion blur in the standard region.

Abstract: An imaging light emitting device, and an optical unit configured to guide imaging light emitted from the imaging light emitting device are included, and the imaging light emitting device emits the imaging light at different densities according to a distortion generated in an optical system constituting the optical unit and an image position.

Abstract: An electronic device includes a plurality of cameras, and at least one processor connected to the plurality of cameras. The at least one processor is configured to, based on a first user command to obtain a live view image, segment an image frame obtained via a camera among the plurality of cameras into a plurality of regions based on a brightness of pixels and an object included in the image frame; obtain a plurality of camera parameter setting value sets, each including a plurality of parameter values with respect to the plurality of regions; based on a second user command to capture the live view image, obtain a plurality of image frames using the plurality of camera parameter setting value sets and at least one camera among the plurality of cameras; and obtain an image frame by merging the plurality of obtained image frames.

Abstract: A system and method for a teleoperational medical system is provided is provided that can include one or more processors, conductors can extend through a shaft with an interface positioned at a proximal end of the shaft and a sensor(s) positioned at a distal end of the shaft, and the conductors can electrically couple the sensor(s) to the processor via the interface. Signals can be transmitted over the conductors between the sensor(s) and the processor(s). The signals can include power and control signals transmitted in one direction over the conductors and sensor data transmitted in an opposite direction over the same conductors.

Abstract: Techniques are provided to identify, correct, and/or replace anomalous pixels. In one example, a method includes receiving an image frame comprising a plurality of pixels arranged in a plurality of rows and columns. The pixels comprise image data associated with a scene and fixed pattern noise introduced by an imaging device. The method also includes performing a first process on a first set of the pixels to determine associated correction terms configured to reduce the fixed pattern noise, and applying the correction terms to the first set of the pixels in response to the first process. The method also includes performing a second process on a second set of the pixels to determine whether to replace the second set of the pixels to reduce the fixed pattern noise, and replacing at least a subset of the second set of the pixels in response to the second process. Additional methods and systems are also provided.

Abstract: Techniques for providing adaptive assistive technology for assisting users with visual impairment can be used on a computing device. These techniques include displaying content to a user, capturing a series of images or video of the user using a camera, analyzing the series of images or video to determine whether the user is exhibiting behavior or characteristics indicative of visual impairment, and rendering a magnification user interface on the display configured to magnify at least a portion of the content of the display based on a determination that the user is exhibiting behavior or characteristics indicative of visual impairment. The magnification user interface may be controlled based on head and/or eye movements of the user of the computing device.

Abstract: Image analysis and processing may include a first sensor readout unit receiving first Bayer format image data corresponding to a first input image, a second sensor readout unit receiving second Bayer format image data corresponding to a second input image, a first Bayer-to-RGB unit obtaining first RGB format image data based on the first Bayer format image data, a second Bayer-to-RGB unit obtaining second RGB format image data based on the second Bayer format image data, a high dynamic range unit configured obtaining high dynamic range image data based on a combination of the first RGB format image data and the second RGB format image data, an RGB-to-YUV unit obtaining YUV format image data based on the high dynamic range image data, and a three-dimensional noise reduction unit obtaining processed image data based on the YUV format image data.