Abstract: The disclosure provides an image reconstruction method for an edge device, an electronic device and a storage medium. The image reconstruction method includes: extracting low-level features from an input image of a first scale to generate first feature maps, the first feature maps having a second scale greater than the first scale as compared with the input image; extracting low-level features from the input image to generate second feature maps, the second feature maps having the second scale; generating mask maps based on the second feature maps; generating intermediate feature maps based on the mask maps and the first feature maps, the intermediate feature maps having the second scale; synthesizing a reconstructed image having the second scale based on the intermediate feature maps. This method facilitates to achieve a better image super-resolution reconstruction effect with lower resource consumption.

Abstract: Placement of a face depicted within a video may be determined. One or more stabilization options for the video may be obtained. Stabilization option(s) may include angle stabilization option, a position stabilization option, and/or a size stabilization option. The video may be stabilized based on the placement of the face and the stabilization option(s).

Abstract: Methods and systems include neural network-based image processing and blending circuitry to blend an output of the neural network to compensate for potential artifacts from the neural network-based image processing. The neural network(s) apply image processing to image data using one or more neural networks as processed data. Enhance circuitry enhances the image data in a scaling circuitry to generate enhanced data. Blending circuitry receives the processed image data and the enhanced data along with an image plane of the processed data. The blending circuitry also determines whether the image processing using the one or more neural networks has applied a change to the image data greater than a threshold amount. The blending circuitry then, based at least in part in response to the change being greater than the threshold amount and/or edge information of the image data, blends the processed data with the enhanced data.

Abstract: A riflescope having a display that provides information to a user of the riflescope, along with related methods, is provided herein. In one embodiment, a riflescope includes an objective system and an ocular system, wherein a focal plane is defined between the objective system and the ocular system. A display system, comprising a display and a mirror, is positioned at a location between the focal plane and the ocular system. In one embodiment, the distance between the focal plane and the ocular system is equal to a sum of a distance between the display and the mirror and a distance between the mirror and the ocular system.

Abstract: A picture encoding/decoding method and a related apparatus are provided. The picture decoding method includes obtaining a current picture from a video, the current picture being segmented using random access points into multiple video segments supporting a random access function; selecting, from a knowledge base, K reference pictures of the current picture, wherein at least one reference picture in the knowledge base does not belong to a random access segment in which the current picture is located, the random access segment comprising a picture sequence arranged in a decoding order from a closest random access point before the current picture to a closest random access point after the current picture; and decoding the current picture according to the K reference pictures.

Abstract: An object is to make it possible to add an electronic signature to an edited image under reliable environment. An imaging device includes a determination processing unit that executes determination processing for determining whether or not image data is an own device captured image captured by an own device on the basis of metadata corresponding to the image data input from outside of the own device and a signature processing unit that acquires re-signature data different from signature data at the time of imaging using the image data and metadata for the image data determined as an own device captured image by the determination processing unit.

Abstract: A face image processing method and apparatus, a readable medium, and an electronic device, relates to the field of image processing technologies. The method includes: obtaining (101) sight line information in a face image to be processed in accordance with a preset recognition algorithm, where the sight line information includes: a first coordinate and an edge coordinate for an eye, and the edge coordinate is used to indicate an intersection of a sight line of an eye and an edge of the face image; determining (102) a target area in the face image according to the sight line information, where the target area includes a sight line segment with the first coordinate and the edge coordinate as endpoints; and rendering (103) a preset effect material to target area to obtain a target image.

Abstract: The disclosure provides an image optimization method, system, and storage medium. The image optimization method includes extracting texture quality information from an input image. The texture quality information indicates a spatial distribution of texture quality in the input image. The image optimization method also includes performing, according to the texture quality information, texture restoration on a set region in the input image to generate a texture restored image.

Abstract: According to an exemplary embodiment of the present disclosure, disclosed is a computer program stored in a computer readable storage medium. When the computer program is executed by one or more processors of a computing device, the computer program provides a user interface (UI) to display design information, and the user interface may include: a design group generation layer for generating a design group, and the design group generation layer includes one or more design file regions each of which are associated with a design file, and the design file region may include: a first sub region displaying a design image; and a second sub region displaying one or more design attribute objects, which allows user selection input for at least some of one or more design attributes included in the design file.

Abstract: An embodiment of the present invention discloses a camera module including a light output unit configured to output an optical signal to an object; an optical unit configured to pass the optical signal reflected from the object; a sensor configured to receive the optical signal passed by the optical unit; and a control unit configured to acquire depth information of the object using the optical signal received by the sensor, wherein the sensor includes an effective area in which a light receiving element is disposed and an ineffective area other than the effective area and includes a first row region, in which the effective area and the ineffective area are alternately disposed in a row direction, and a second row region, in which the effective area and the ineffective area are alternately disposed in the row direction and the effective area is disposed at a position not overlapping the effective area of the first row region in a column direction, light that reaches the effective area of the first row region

Abstract: In one implementation, a camera includes an image sensor including a plurality of sensor elements at a respective plurality of first image sensor locations. The camera includes a controller to receive, from the image sensor, a plurality of sensor values indicative of a characteristic of light impinging on the plurality of sensor elements and generate, based on the plurality of sensor values, an image file including a plurality of pixels having a respective plurality of pixel values, wherein the plurality of pixels are associated with a respective plurality of pixel locations that represent a respective plurality of second image sensor locations. The plurality of second image sensor locations are within a circle and the image file does not include a pixel having a pixel location representing an image sensor location outside the circle and within a square in which the circle is inscribed.

Abstract: A medical image processing apparatus includes the following. A processor is configured to: acquire a medical image obtained by capturing an image of an observation target; detect a region of interest from the medical image; and cause a display to display report information and the medical image, the report information reporting that the region of interest has been detected. A screen displayed on the display has a first region in which the medical image is displayed, and a second region provided outside the first region. The second region is divided into four regions by using line segments passing through a center of the first region, and a detected location of the region of interest is reported by displaying the report information in one of the four regions.

Abstract: An information processing system (2000) includes a camera (10), a polarization filter (20), a display device (30), and an information processing apparatus (200). The display device (30) includes a display screen (32), and an object (40) is placed on the display screen (32). The camera (10) has an image area in which the display screen (32) is included. The information processing apparatus (200) displays, on the display screen (32), a first display based on a captured image (12) generated by the camera (10). The polarization filter (20) is located between a lens of the camera (10) and the display screen (32) when the lens of the camera (10) faces the display screen (32).

Abstract: A method and system for calibrating a lens. The method includes defining a plurality of omni-symmetrical regions within the lens, determining one or more localized lens parameters associated with each of the plurality of omni-symmetrical regions, and defining a localized set of calibration parameters for each of the plurality of omni-symmetrical region. The localized set of calibration parameters may then be employed in a computational image application.

Abstract: Devices, systems and methods for digital video coding, which includes using default motion candidates for video coding, are described. An exemplary method for video processing includes determining, for a conversion between a block of a video and a bitstream representation of the video, weights to use for a weighted average of prediction samples along an edge of two partitions of the block. The two partitions are generated according to a geometry partition mode, and the weights are selected from a first weighting factor group that at least one of the weights is equal to 0 or 1. The method also includes performing the conversion based on the determining.

Abstract: An image capturing apparatus includes an image capturing unit configured to set an exposure condition for each of areas on an image capturing plane, a setting unit configured to set a privacy area in an image captured by the image capturing unit, a decision unit configured to decide an exposure condition of the privacy area set by the setting unit as an exposure condition that enables privacy of an object in the privacy area to be protected, and a control unit configured to execute control for causing the image capturing unit to capture an image of the object based on the exposure condition decided by the decision unit.

Abstract: The invention provides an image capturing apparatus which comprises an image capturing unit, a selecting unit which selects a dynamic range, a developing unit which performs a developing process on RAW image data obtained by the image capturing unit; and a control unit which performs control such that if a first dynamic range is selected, image data obtained by performing a developing process for the first dynamic range on the RAW image data by the developing unit is recorded as the RAW image file together with the RAW image data, and if a second dynamic range is selected, image data obtained by performing a developing process for the second dynamic range on the RAW image data by the developing unit is recorded as the RAW image file together with the RAW image data.

Abstract: The present disclosure provides systems, apparatus, methods, and computer-readable media that support multi-frame depth-of-field (MF-DOF) for deblurring background regions of interest (ROIs), such as background faces, that may be blurred due to a large aperture size or other characteristics of the camera used to capture the image frame. The processing may include the use of two image frames obtained at two different focus points corresponding to the multiple ROIs in the image frame. The corrected image frame may be determined by deblurring one or more ROIs of the first image frame using an AI-based model and/or local gradient information. The MF-DOF may allow selectively increasing a depth-of-field (DOF) of an image to provide focused capture of multiple regions of interest, without causing a reduction in aperture (and subsequently an amount of light available for photography) or background blur that may be desired for photography.

Abstract: An approach for controlling method of an electronic device is provided. The approach acquires voice information and image information for setting an action to be executed according to a condition, the voice information and the image information being respectively generated from a voice and a behavior associated with the voice of a user. The approach determines an event to be detected according to the condition and a function to be executed according to the action when the event is detected, based on the acquired voice information and the acquired image information. The approach determines at least one detection resource to detect the determined event. In response to the at least one determined detection resource detecting at least one event satisfying the condition, the approach executes the function according to the action.

Abstract: A picture rendering method includes obtaining first picture data of a current frame; comparing the first picture data with currently recorded second picture data of a previous frame to determine a first part in the first picture data that does not change with respect to the second picture data and a second part in the first picture data that changes with respect to the second picture data; and rendering the second part in the current frame, including reusing a rendering result of the first part in the previous frame to obtain and display a rendering result of the current frame.

Abstract: Methods and systems are described for performing multifactor authentication. An authentication code may be encrypted in optical indica. Optionally, Advanced Encryption Standard (AES), Rivest-Shamir-Adleman (RSA), DES (Data Encryption Standard), and/or a hashing function may be utilized to encrypt the authentication code. An image of the authentication code may be captured from a device having a display using a digital camera. The image may be in a compressed format and transmitted over a network to an image analysis system. The image analysis system may decode the optical indicia to obtain the encoded authentication data and may perform decryption on the decoded data. If a hashing function is utilized to encrypt the authentication data, the encoded authentication data may be compared to a hash of stored authentication data. If needed, the image analysis system may perform image enhancement prior to performing decoding, including contrast enhancement, deblurring, and/or image rotation.

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 three-dimensional data encoding method of encoding three-dimensional points obtained by a sensor includes: encoding local coordinate information indicating sets of local coordinates that are coordinates of the three-dimensional points and are dependent on a location of the sensor; and generating an encoded bitstream including the local coordinate information encoded and global coordinate information indicating global coordinates that are coordinates of a reference point or at least one of the three-dimensional points and are independent from the location of the sensor.

Abstract: Provided is an image sensor including a sensor substrate including a plurality of first pixels configured to sense first wavelength light in an infrared ray band and a plurality of second pixels configured to sense second wavelength light in a visible light band, and a color separating lens array disposed on the sensor substrate and configured to change a phase of the first wavelength light incident on the color separating lens array such that the first wavelength light is condensed to the plurality of first pixels, wherein the color separating lens array includes a plurality of light condensing regions configured to condense the first wavelength light respectively on the plurality of first pixels, and wherein an area of each of the plurality of light condensing regions is larger than an area of each of the plurality of first pixels.

Abstract: A mobile client device includes a photo controller to identify when a client device captures a picture. Photo filters are designated based upon attributes of the mobile client device. The picture with a selected photo filter is sent to a server for routing to other client devices.

Abstract: A matching accelerator in the form of a hardware accelerator configured to perform matrix multiplication and/or additional operations is used to optimize keypoint matching. An SSE calculation may be determined by utilizing the matching accelerator to perform matrix multiplication to obtain a cost matrix for two sets of keypoint descriptors from two images. The hardware accelerator may determine a best cost calculation for each keypoint in each direction, which is utilized to perform keypoint matching.

Abstract: Methods, systems, computer-readable media, and apparatuses for region-of-interest automatic gain or exposure control are presented. One example method includes receiving an image from an image sensor, the image comprising a plurality of pixels, determining a region of interest (“ROI”) in the image, the ROI comprising a subset of the plurality of pixels in the image, determining a ROI weight for pixels in the subset of the plurality of pixels, determining statistics for the image based on the plurality of pixels in the image and the ROI weight, and adjusting a gain or exposure setting for the image sensor based on the statistics.

Abstract: An image pickup apparatus capable of constantly providing a photographer with an appropriate display image even when a posture of the image pickup apparatus is changed is provided. An image pickup device and a main body including a display are connected by a hinge member rotatably about at least one axis. A first detector detects a rotation phase of the image pickup device about the one axis with respect to the main body. A second detector detects a posture of the image pickup device. A display controller performs a vertical inversion of a display of an image picked up by the image pickup device on the display in accordance with a detection result of the first detector and the second detector.

Abstract: An apparatus includes at least one memory configured to store instructions, at least one processor in communication with the at least one memory and configured to execute the instructions to receive a photographing instruction, and an optical system configured to perform a first photographing method before reception of the photographing instruction, and a second photographing method after reception of the photographing instruction. The at least one processor further executes instructions to combine a plurality of first images at different in-focus positions captured by using the first photographing method with a plurality of second images at different in-focus positions captured by using the second photographing method. The optical system performs readout an image sensor, while keeping the drive of a focus lens, in the first photographing method, and stops the focus lens at different positions in the second photographing method.

Abstract: In a night shot mode, a photo is captured and processed based on a plurality of frames. The plurality of frames is obtained based on a plurality of parameters including an exposure duration, a light sensitivity, and a number of frames. These parameters are determined based on factors, such as whether the electronic device is in a handheld state or not, and whether the current photographing scene is a dark scene or a light source scene.

Abstract: A solid-state imaging element that detects address events captures high-quality images. The solid-state imaging element includes a pixel array section that has a plurality of pixels including a specific pixel arranged in a two-dimensional lattice pattern. The specific pixel includes a pixel circuit and two analog-digital converters. The pixel circuit outputs two analog signals proportional to an amount of charge produced by photoelectric conversion. The analog-digital converters convert the respective two analog signals into digital signals with different resolutions.

Abstract: An operating method of an under-display camera system includes: providing a raw data by a pixel array; generating, by a plurality of color filters respectively disposed on a plurality of first photodiodes of the pixel array, a color information in accordance with the raw data; generating, by a plurality of first narrowband filters respectively disposed on a plurality of second photodiodes of the pixel array, a first narrowband information in accordance with the raw data, wherein a spectrum linewidth of the plurality of first narrowband filters is in a range from 5 nm to 70 nm; reconstructing an edge information from the first narrowband information based on one of a plurality of diffraction patterns provided by a database unit of a point spread function; and obtaining an image by combining the edge information with the color information.

Abstract: A display controlling method for a broadcast receiving apparatus allowed to receive IP simultaneous broadcasting of a 4K broadcasting service via a communication transmission line, in which simultaneous broadcasting of the 4K broadcasting service and a 2K broadcasting service is executed by a broadcasting wave, is configured to: receive and demodulate the 4K broadcasting service, and display a broadcasting program of the 4K broadcasting service; and select and execute one display switching process of first and second display switching processes in accordance with priority order in a case where a defect occurs in reception, demodulation, or display of the 4K broadcasting service, the 2K broadcasting service being received and demodulated to display a broadcasting program of the 2K broadcasting service in the first display switching process, the IP simultaneous broadcasting being received and demodulated to display a program of the IP simultaneous broadcasting in the second display switching process.

Abstract: A method and apparatus for simultaneously acquiring a super-resolution image and a high-speed widefield image are disclosed. The image acquisition method includes receiving a first image signal from an optical microscope, generating, by using the first image signal, a first plurality of entire images, distinguishing, based on movements of a plurality of objects included in the first plurality of entire images, a dynamic region with respect to the first plurality of entire images and a static region with respect to the first plurality of entire images, and controlling the optical microscope so as to respectively irradiate lights having different amplitudes onto the dynamic region and the static region.

Abstract: A control circuit and a control method of an image sensor are provided. The image sensor generates a sensed data. The control circuit includes a statistical circuit, an auto exposure (AE) circuit, and a calculation circuit. The statistical circuit generates a luminance statistical data according to the sensed data. The AE circuit sets the image sensor and outputs an AE data which includes a target luminance of the image sensor. The calculation circuit controls an operation mode of the image sensor according to the luminance statistical data and the AE data.

Abstract: A recording apparatus includes a control unit configured to set the input additional information as recording additional information to be recorded together with a moving-image file, in response to input of the additional information, and a recording control unit configured to record moving-image data in a recording medium as the moving-image file, and record an additional information file including the recording additional information set by the control unit in the recording medium, in association with the moving-image file, wherein, in a case where the additional information is input by an input unit during recording of the moving-image file in the recording medium, the control unit sets the input additional information as the recording additional information at end of recording of the moving-image file, without setting the input additional information as the recording additional information in response to the input of the additional information by the input unit.

Abstract: Methods and systems for identifying watchers of an object of interest at an incident scene. One method includes receiving, with an electronic processor, an object identifier corresponding to the object of interest. The method includes determining a watcher status for the object of interest. The method includes generating a notification based on the watcher status and the object identifier. The method includes transmitting, with a communication interface communicatively coupled to the electronic processor, the notification to an available watcher at the incident scene.

Abstract: An apparatus includes a capturing unit configured to capture an image of an object, an exposure control unit configured to control an exposure condition including an exposure time or an analog gain for each of a plurality of pixels or pixel groups on a surface of the capturing unit, a determination unit configured to determine one or more evaluation areas including an achromatic color area from the captured image, a calculation unit configured to calculate a first evaluation value for each of the plurality of pixels or pixel groups in the evaluation area, and calculate a second evaluation value based on the first evaluation value weighted based on the exposure condition for each of the plurality of pixels or pixel groups, a correction unit configured to correct the image based on the second evaluation value.

Abstract: An imaging device includes multiple pixels, a first analog-to-digital (AD) converter and a second AD converter that receive analog signals read from the pixels and output digital signals the analog signals, a first frame memory, and an image processor. The analog signals include a reset signal representing a reset level and a pixel signal representing an image of a subject. The first frame memory temporarily stores a first digital signal that is one of the digital signals, corresponding to the reset signal, output from the first AD converter and the second AD converter. The image processor outputs a difference between the first digital signal stored on the first frame memory and a second digital signal that is another one of the digital signals, corresponding to the pixel signal on pixels from which the reset signal is read, output from the first AD converter and the second AD converter.

Abstract: In some examples, an apparatus comprises an array of pixel cells, and processing circuits associated with blocks of pixel cells of the array of pixel cells and associated with first hierarchical power domains. The apparatus further includes banks of memory devices, each bank of memory devices being associated with a block of pixel cells, to store the quantization results of the associated block of pixel cells, the banks of memory devices further being associated with second hierarchical power domains. The apparatus further includes a processing circuits power state control circuit configured to control a power state of the processing circuits based on programming data targeted at each block of pixel cells and global processing circuits power state control signals, and a memory power state control circuit configured to control a power state of the banks of memory devices based on the programming data and global memory power state control signals.

Abstract: A camera device includes an image sensor, an integrated processor, and an output interface. The camera device also includes a splitter which reads in raw image signals from the image sensor and then provides this data to both the integrated processor and to the output interface for transmission to an external processor. The integrated processor is configured to determine first object data by processing the raw image signals provided.

Abstract: An image analysis device according to the present invention includes: an image capturing unit that captures a subject; a light emitting unit that emits light to the subject; a sensor unit that senses an inclination of the image capturing unit relative to the subject; a control unit that causes the image capturing unit to capture an image of the subject while controlling light emission of the light emitting unit; and a determination unit that, based on a positional relationship of the image capturing unit and the light emitting unit and the inclination, determines a measurement region spaced apart by a predetermined distance from a reflection region corresponding to a position in the image where a light from the light emitting unit regularly reflects at the subject.

Abstract: An image capturing apparatus includes an image pickup device configured to output image data, and at least one processor programmed to perform the operations of following units: a calculation unit configured to calculate an evaluation value used to determine whether to perform an image capturing operation for recording the image data; a setting unit configured to set a threshold value used to determine whether to perform an image capturing operation for recording the image data; a determination unit configured to make a determination as to whether to control execution of an image capturing operation using the evaluation value and the threshold value; and a storing unit configured to store image capturing history information obtained from execution of an image capturing operation based on the determination made by the determination unit, wherein the setting unit sets the threshold value based on the image capturing history information.

Abstract: In one embodiment, a computing system may receive sensor data from an image sensor having a pixel array including color pixel sensors and panchromatic pixel sensors in a first pattern. Each of the color pixel sensors is associated with one of several color channels. The computing system may generate, based on the sensor data, a filtered monochrome image including monochrome values corresponding to the pixel array of the image sensor. The computing system may generate a filtered color image having a second pattern of color channels. A first pixel of a particular color channel at a first pixel location in the filtered color image is determined based on the monochrome value corresponding to the first pixel location in the filtered monochrome image, the sensor data measured by a color pixel sensor at a second pixel location, and the monochrome value at the second pixel location in the filtered monochrome image.

Abstract: Provided is a photoelectric conversion device including: at least one charge holding portion including a first semiconductor region of a first conductivity type and configured to hold signal charges based on incident light; and an avalanche photodiode including a second semiconductor region of the first conductivity type, in which the signal charges are transferred from the first semiconductor region to the second semiconductor region via a third semiconductor region of a second conductivity type that is different from the first conductivity type, a fourth semiconductor region of the first conductivity type, and a fifth semiconductor region of the second conductivity type in this order.

Abstract: Row-by-row pixel read-out is executed concurrently within respective clusters of pixels of a pixel array, alternating the between descending and ascending progressions in the intra-cluster row readout sequence to reduce temporal skew between neighboring pixel rows in adjacent clusters.

Abstract: An imaging apparatus includes a light emitter, a pixel section, and a signal processor which calculates distance information of a subject. The pixel section includes a photoelectric converter, first and second read-out gates, and a plurality of charge accumulators including a first charge accumulator and a second charge accumulator. The first read-out gate is activated in a first period and deactivated in a second period. The second read-out gate is activated in the first period and the second period. The signal processor calculates the distance information based on a total amount of signal charges accumulated in the charge accumulators in the first period and the second period and a difference between an amount of signal charges accumulated in the second charge accumulator in the first period and the second period and an amount of the signal charge accumulated in the first charge accumulator in the first period.

Abstract: In a technique to assess the blurriness of an image, an image of a face is received, the image including a depiction of lips. A processing device determines a region of interest in the image, wherein the region of interest comprises an area inside of the lips. The processing device applies a focus operator to the pixels within the region of interest, and calculates a sharpness metric for the region of interest using an output of the focus operator. The processing device determines whether the sharpness metric satisfies a sharpness criterion, and one or more additional operations are performed responsive to determining that the sharpness metric satisfies the sharpness criterion.

Abstract: Disclosed in embodiments of the present application are a screen color gamut control method and apparatus, an electronic device, and a storage medium. The method comprises: displaying a control, the control being configured to control the screen to switch between different color gamut spaces; acquiring the state of the control, the state being used for representing the color gamut space to which the screen is controlled to switch; and adjusting the color gamut space of the screen to make same be switched to the color gamut space corresponding to the state of the control. By means of the present method, when the control is displayed, the color gamut space of the screen is adjusted by the control to switch the color gamut space to that corresponding to the state of the control, so that users can enjoy different color experiences, thereby improving user experience.

Abstract: Provided is an excellent robot device capable of preferably detecting difference between dirt and a scratch on a lens of a camera and difference between dirt and a scratch on a hand. A robot device detects a site in which there is the dirt or the scratch using an image of the hand taken by a camera as a reference image. Further, this determines whether the detected dirt or scratch is due to the lens of the camera or the hand by moving the hand. The robot device performs cleaning work assuming that the dirt is detected, and then this detects the difference between the dirt and the scratch depending on whether the dirt is removed.