Abstract: Apparatus and methods for the pre-processing of image data so as to enhance quality of subsequent encoding and rendering. In one embodiment, a capture device is disclosed that includes a processing apparatus and a non-transitory computer readable apparatus comprising a storage medium have one or more instructions stored thereon. The one or more instructions, when executed by the processing apparatus, are configured to: receive captured image data (such as that sourced from two or more separate image sensors) and pre-process the data to enable stabilization of the corresponding images prior to encoding. In some implementations, the pre-processing includes combination (e.g., stitching) of the captured image data associated with the two or more sensors to facilitates the stabilization. Advantageously, undesirable artifacts such as object “jitter” can be reduced or eliminated. Methods and non-transitory computer readable apparatus are also disclosed.

Abstract: An actuator includes a seat body a stator magnet, a mover assembly and a driving chip. The stator magnet is in the seat body and is connected to the seat body; the mover assembly includes a coil circuit board, the coil circuit board includes a first electrically conductive coil, and the first electrically conductive coil, when energized, interacts with the stator magnet to drive the mover assembly and the stator magnet to move relative to each other; and the driving chip is located on the coil circuit board and is connected to the first electrically conductive coil, and is used for connecting to an external power supply circuit to supply power to the first electrically conductive coil.

Abstract: [Object] To provide a medical image transmission system, a medical image processing apparatus, and a medical image transmission method that are capable of performing image processing on a medical image generated in a modality without deteriorating the visibility of additional information. [Solving Means] A medical image transmission system according to the present technology includes: an image acquisition unit; image processing unit; a superimposition unit; and a presentation unit. The image acquisition unit acquires a medical image generated by a medical observation apparatus. The image processing unit applies predetermined image processing to the medical image. The superimposition unit superimposes a superimposition image on a predetermined area of the medical image. The presentation unit presents information to a user on the basis of additional information that has been displayed in the predetermined area before executing the predetermined image processing. [Selected Drawing] FIG.

Abstract: Systems and techniques are provided for processing image data. According to some aspects, a process can include obtaining a frame captured using an image sensor of a device. The process can include detecting an orientation of the device using a position sensor. The process can further include determining, based on the orientation, a transform to be applied to a region of interest in the frame. The process can include applying the transform to the region of interest. The process can further include providing the transformed region of interest to the object detection algorithm.

Abstract: An electronic device includes: an imaging unit including a region having a pixel group that has a plurality of first pixels, and second pixels that are fewer than the first pixels in the pixel group; and a control unit that reads out the signals based upon exposure of the second pixels during exposure of the plurality of first pixels.

Abstract: A computer-implemented method is provided for improving live video quality. The method comprises: (a) acquiring, using a medical imaging apparatus, a stream of consecutive image frames of a subject; (b) feeding the stream of consecutive image frames to a first set of denoising components, wherein each of the first set of denoising components is configured to denoise an image frame from the stream of consecutive image frames in a spatial domain to output an intermediate image frame; (c) feeding a plurality of the intermediate image frames to a second denoising component, wherein the second denoising component is configured to (i) denoise the plurality of the intermediate image frames in a temporal domain and (ii) generate a weight map; and outputting a final image frame with improved quality in both temporal domain and spatial domain based at least in part on the weight map.

Abstract: A method for image stabilization of a video stream captured by a panable and/or tiltable video camera the method comprising: generating a motor position signal, Y1, of a pan/tilt motor of the video camera; generating a gyro signal, Y2, of a gyroscopic sensor of the video camera; generating a reference signal from a predetermined movement curve of the pan/tilt motor of the video camera, the reference signal is a reference on how a pan/tilt operation of the video camera is made without shaking of the video camera; from the motor position signal, Y1, and the gyro signal, Y2, generating a combined signal, Y, according to: Y=F1*Y1+F2*Y2, wherein F1 is a low pass filter and F2 is a high pass filter; and performing image stabilization on the video stream based on a difference between the combined signal, Y, and the reference signal.

Abstract: An electronic device comprises a camera module and an image signal processor. The camera module generates and outputs gyro data and frame data for an input image. The image signal processor comprises a motion vector module which calculates motion vector information, a gyro-based motion estimator which extracts camera rotation information of the camera module from the gyro data, a motion vector-based motion estimator which extracts frame rotation information from the frame data, an optical image stabilization (OIS) two-dimensional (2D) translation information estimator which estimates OIS 2D translation information based on the motion vector information, the camera rotation information, and the frame rotation information, and a camera path optimizer which filters out a low-frequency component from the OIS 2D translation information and calculates stabilized camera motion information of the camera module using the filtered OIS 2D translation information and the camera rotation information.

Abstract: This apparatus includes a first processing circuit section that includes a tone controller that imparts tone curve characteristics for tone adjustment to an input video signal having linear characteristics; and a second processing circuit section that includes a first curve characteristics imparting section that imparts, to the video signal processed by the first processing circuit section, first curve characteristics for output, and generates a first output video signal.

Abstract: A video may be captured by an image capture device in motion. A stabilization trajectory for the video may reflect stabilization rotational positions to compensate for at least some of the motion of the image capture device. The stabilization trajectory may have a stabilization trajectory length. The stabilization of the visual content may be assessed based on the stabilization trajectory length.

Abstract: In an electronic device according to the present invention, on a first screen, a range of a part of a VR content having a first video range is displayed as a display range and the display range is changed in accordance with an orientation change of the electronic device or a display range change operation, and on a second screen, a first image with a second video range that is narrower than the first video range and a second image with a range outside of the second video range in the first video range are displayed side by side; an edited VR content including the second video range is generated; and the second video range is changed in accordance with a video range change operation in a state where the first image and the second image are being displayed on the second screen.

Abstract: A video may be captured by an image capture device in motion. A stabilized view of the video may be generated by providing a punchout of the video. The punchout of the video may compensate for rotation of the image capture device during capture of the video. Different field of view punchouts, such as wide field of view punchout and linear field of view punchout, may be used to stabilize the video. Different field of view punchouts may provide different stabilization margins to stabilize the video. The video may be stabilized by switching between different field of view punchouts based on the amount of stabilization margin needed to stabilize the video.

Abstract: Visual content is captured by an image capture device during a capture duration. The image capture devices experiences motion during the capture duration. The intentionality of the motion of the image capture device is determined based on angular acceleration of the image capture device during the capture duration. A punchout of the visual content is determined based on the intentionality of the motion of the image capture device. The punchout of the visual content is used to generate stabilized visual content.

Abstract: An image capture device may capture a video while experiencing motion. Motion of the image capture device during video capture may be determined based on optical flow and structure from motion solve of the video. Optical flow derived motion and/or the motion solve derived motion of the image capture device may be selected to perform stabilization of the video.

Abstract: A streaming orchestrator may monitor the quality of video being delivered to a home or other building. If the streaming orchestrator determines that additional performance is needed, it may create an additional User Plane Gateway in the virtual “white box” environment residing in the customer premises. The streaming orchestrator may instruct gNodeBs to continue to route traffic back to the central core functions or to route traffic to local user plane gateways which transmit video streams to the Internet via localized high-speed connections.

Abstract: A processor unit configured to identify blocks of a frame of a video sequence to be excluded from a motion-compensated operation, the processor unit comprising: a frame processor configured to process pixel values of a first frame to characterise blocks of one or more pixels of the first frame as representing at least a portion of a graphic object; a frame-difference processor configured to determine difference values between blocks of the first frame and corresponding blocks of a second frame, and to process said difference values to characterise blocks of the first frame as representing an image component that is static between the first and second frames; a block identifier configured to identify blocks of the first frame as protected blocks in dependence on blocks characterised as: (i) representing at least a portion of a graphic object; and (ii) representing an image component that is static between the first and second frames, wherein the identified protected blocks are to be excluded from the motion co

Abstract: A method for stabilizing a video sequence comprises: obtaining an indication of camera movement from acquisition of a previous camera frame to acquisition of a current camera frame; determining an orientation for the camera at a time of acquiring the current camera frame; and determining a candidate orientation for a crop frame for the current camera frame by adjusting an orientation of a crop frame associated with the previous camera frame according to the determined orientation. A boundary of one of the camera frame or crop frame is traversed to determine if a specific point on the boundary of the crop frame exceeds a boundary of the camera frame. If so, a rotation of the specific point location which would bring the specific point location onto the boundary of the crop frame is determined and the candidate crop frame orientation updated accordingly before the crop frame is displayed.

Abstract: An image processing method for generating an estimated image in which a defocus blur shape in a captured image is corrected includes a first step of acquiring input data including the captured image and shape designating information that designates a defocus blur shape in the estimated image, and a second step of inputting the input data to a machine learning model and of generating the estimated image.

Abstract: Disclosed are a method and an apparatus for processing a blurred image. The method for processing a blurred image includes the steps of generating a first input feature map and a second input feature map with a feature distribution for blur removal from the blurred image, generating a prediction feature map from the first input feature map by using a self-spatial feature transform (SSFT) module which transforms the feature distribution for blur removal into a feature distribution for face recognition without external information, and generating a deblurred image based on the second input feature map and the prediction feature map.

Abstract: A method of ascertaining disparities in sensor data uses at least one neural network implemented in a controller of a vehicle. The method involves capturing (101) a learning data record from temporally successive raw sensor data, evaluating (102) the learning data record to train the neural network exclusively based on the learning data record of the captured raw sensor data, ascertaining (103) expected sensor data, comparing (104) the ascertained expected sensor data with sensor data currently captured by the sensor arrangement, and ascertaining (105) a disparity between the currently captured sensor data and the ascertained expected sensor data.

Abstract: A team photographing method can be applied to terminals. The terminals can include a main terminal and at least one member terminal. The method includes: forming a team including the main terminal and the at least one member terminal based on a team photographing instruction initiated by the main terminal; based on a target object to be photographed determined by the main terminal, determining the target object to be photographed of the at least one member terminal; and controlling, by the main terminal, the main terminal and the at least one member terminal to photograph the target object to be photographed cooperatively.

Abstract: A camera module is provided. The camera module includes a lens module; a housing configured to accommodate the lens module; an image sensor module disposed below the lens module; and a first driving unit, configured to move the image sensor module in a direction perpendicular to an optical axis, and including a first coil disposed on the lens module and a first magnet disposed on the image sensor module, wherein the first coil may be formed in a shape of a ring having a hollow portion, and the first magnet may be disposed in the hollow portion of the first coil.

Abstract: A control device includes a processor and a memory storing instructions that, when executed by the processor, cause the processor to obtain state information of an electronic device through one or more sensors of the electronic device and control an electronic image stabilization (EIS) function of the electronic device to be in an off state or an on state based on the state information.

Abstract: There is provided an image processing apparatus that improves the efficiency of hand shake correction processing by an electronic type hand shake correcting system. The image processing apparatus including a memory section that memorizes a pixel signal output from an imaging element, a region determining section that determines a cutout region of the pixel signal memorized in the memory section on a basis of motion information of the imaging element, and an image processing section that executes image processing with regard to image quality for a pixel signal in the cutout region determined by the region determining section.

Abstract: An electronic device is disclosed. Moreover, various embodiment found through the disclosure are possible. The electronic device may include a camera module including an optical image stabilizer, a motion sensor, a processor electrically connected to the camera module and the motion sensor. The processor may be configured to obtain first motion information corresponding to shaking of the electronic device through the motion sensor, while at least partially obtaining an image frame, determine second motion information, which corresponds to motion of a lens or an image sensor included in the camera module, from the first motion information, using attribute information and a frequency pass filter of the optical image stabilizer, and perform digital image correction, based on the first motion information and the second motion information.

Abstract: An electronic apparatus configured to change into a plurality of states includes an operation member configured to change the electronic apparatus to one of the plurality of states, an acquirer configured to acquire a state change of the electronic apparatus that occurs when the operation member is operated, based on a current state of the electronic apparatus before the operation member is operated, and a notice controller configured to control notice of information corresponding to the state change acquired by the acquirer.

Abstract: Provided is an a priori constraint and outlier suppression based image deblurring method. A convolution model is used for fitting a blurring process of a clear image and then the blurred image I is restored, so that the purpose of image deblurring is achieved. The method comprises an evaluation process of the significant structure of a blurred image, a process of blurring kernel estimation and outlier suppression, and a process of restoring the blurred image by non-blind deconvolution. A structure in the blurred image is obtained by use of L0 norm constraint and heavy-tailed a priori information. The L0 norm constraint is used to evaluate the blurring kernel. The evaluated blurring kernel is subjected to outlier suppression. The final restored image is obtained by using a non-blind deconvolution algorithm. The present invention can prominently improve the restoration level of the blurred image.

Abstract: An image processing device (500) according to the present invention is provided with: a visibility index computation means (501) which, upon receiving two or more images to be merged, computes, for each image to be merged, a visibility index, which is an index relating to the visibility of an object to be viewed in the image, on the basis of a contrast value of the image and the amount of noise included in the image, wherein the two or more images to be merged have different characteristics and have at least an overlap region; a merge ratio computation means (502) which computes an image merge ratio between the images to be merged, on the basis of the computed visibility indices; and an image merging means (503) which merges the images to be merged, on the basis of the computed merge ratio, to generate a merged image.

Abstract: Visual content is captured by an image capture device during a capture duration. The image capture devices experiences motion during the capture duration. The intentionality of the motion of the image capture device is determined based on angular acceleration of the image capture device during the capture duration. A punchout of the visual content is determined based on the intentionality of the motion of the image capture device. The punchout of the visual content is used to generate stabilized visual content.

Abstract: A video blind denoising method based on deep learning, a computer device and a computer-readable storage medium. The method includes: taking a video sequence from a video to be denoised, taking the middle frame in the video sequence as a noisy reference frame, performing an optical flow estimation on the image corresponding to the noisy reference frame and each other frame in the video sequence, to obtain optical flow fields; transforming, according to the optical flow fields, the image corresponding to each other frame in the video sequence to the noisy reference frame for registration respectively, to obtain multi-frame noisy registration images; taking the multi-frame noisy registration images as an input of a convolutional neural network, taking the noisy reference frame as the reference image, performing iterative training and denoising by using the noise2noise training principle, to obtain the denoised image. This solution may achieve the blind denoising of a video.

Abstract: An electronic device and a method for controlling a decorative member lens are provided. The electronic device includes a camera component, a decorative member, a decorative member lens and a driving mechanism. The camera component includes a motor and a lens. The motor is configured to drive the lens to move. The decorative member is provided relative to the camera component. The decorative member lens is mounted on the decorative member. The decorative member lens is spaced from the lens. The driving mechanism is coupled to the decorative member lens. The driving mechanism is configured to drive the decorative member lens to move away from or towards the lens.

Abstract: An apparatus having a focusing unit for focusing in relation to an area within an angle of view, detects, from a captured image, an object area in which a specific object is present, calculates a depth width for the object area based on depth information indicating a defocus distance to an object for each portion obtained by dividing the image, and controls a display so as to, if the depth width is greater than or equal to a predetermined value, superimposedly display, on the image, an object detection frame for indicating the object area and an AF frame for indicating an AF location that the focusing unit uses, and, if the depth width is less than a predetermined value, superimposedly display the object detection frame, and not superimposedly display the AF frame.

Abstract: A method for controlling an image acquisition component includes: when a terminal including a movable image acquisition component receives an activating instruction for the image acquisition component, acquired data acquired by a Proximity Sensor (P-sensor) is obtained, the image acquisition component being capable of moving in and out of the terminal under driving of a driving component of the terminal; it is determined whether there is an obstacle in a preset range of the terminal based on the acquired data; and when there is the obstacle in the preset range of the terminal, the activating instruction is forbidden to be executed, and the image acquisition component is kept at a first position in the terminal.

Abstract: An electronic device and a method for controlling a decorative member lens are provided. The electronic device includes a camera component, a decorative member, a decorative member lens and a driving mechanism. The camera component includes a motor and a lens. The motor is configured to drive the lens to move. The decorative member is provided relative to the camera component. The decorative member lens is mounted on the decorative member. The decorative member lens is spaced from the lens. The driving mechanism is coupled to the decorative member lens. The driving mechanism is configured to drive the decorative member lens to move away from or towards the lens.

Abstract: An image capturing apparatus includes: an image sensor that outputs an image signal obtained by image capturing of a photographic subject by an imaging device through an image capturing optical system; a display that displays a captured image based on the image signal; and a processor configured to perform control to display, on the display, images in a plurality of division regions obtained by dividing a division target region that includes a photographic subject image in the captured image as images in the respective division regions among which a degree of exposure differs.

Abstract: Various embodiments include a camera with image sensor shifting capabilities and a flexure arrangement. In various embodiments, the flexure arrangement may include an upper flexure and a lower flexure. The upper flexure may include a suspension wire that extends between two sheets. The lower flexure may include one or more flexure arms that connect a moveable platform to a stationary platform.

Abstract: Implementations generally relate to locking a camera onto a sub-region to capture images of the sub-region with a moving camera. In some implementations, a method includes determining a first region in a scene detected by a camera while the camera is in a first physical position. The method further includes receiving user input to target a sub-region within the first capture region of the scene and capturing the first image of the sub-region while the camera is in the first physical position. The first image is displayed in a fixed orientation on a preview portion of a display screen. The camera is moved to a second physical position and a second capture region of the scene is detected. The method further includes capturing a second image is of the sub-region and displaying it in the fixed orientation on the preview portion of the display screen. The second image is effective to inform a user of whether capture of the sub-region is altered by camera movement.

Abstract: An image processing apparatus selects filter information for image stabilization processing used in image capturing from a storage medium storing a plurality of pieces of filter information for a plurality of types of image stabilization processing, performs a predetermined operation based on the selected filter information to create a correction filter for use in correcting a captured image, and corrects the captured image using the created correction filter.

Abstract: A finder display unit displays a live view image based on a captured image generated by an imaging unit. A digital signal processing unit detects a movement vector between frames in the live view image for a predetermined portion in the captured image. A digital signal processing unit changes a display range of the live view image on the finder display unit based on the detected movement vector of a peripheral portion in the captured image.

Abstract: Video stream data is received. The video stream data comprises a plurality of arriving frames. An indication that the stream data should be processed into a long exposure image is received. In response to receipt of a frame arrival, a current frame is aligned with a registration image. The aligned frame is blended with a buffer. The buffer is used to provide the long exposure image as output.

Abstract: The present disclosure provides an image stabilization method. The method includes acquiring a frame of an image to be stabilized and a related exposure time; acquiring first attitude data before the exposure time and second attitude data after the exposure time, wherein the number of the first attitude data is one or more, and the number of the second attitude data is one or more; acquiring a target attitude corresponding to the exposure time based on the first attitude data and the second attitude data; and obtaining a stabilized target image by stabilizing the image to be stabilized according to the target attitude.

Abstract: Examples described may related to an imaging sensor used by a vehicle, including a light sensor. The light sensor comprises a plurality of cells aligned in a plurality of horizontal rows and a plurality of vertical columns. The apparatus further includes an optical system configured to provide the light sensor with a field of view of an external environment of the apparatus. Additionally, the system includes a processing unit configured to: divide the plurality of horizontal rows of the light sensor into one or more enabled rows and one or more disabled rows; obtain image data from the light sensor by sampling one or more cells in the one or more enabled rows; and store the received image data in a memory.

Abstract: A capacity of a frame memory is reduced in an apparatus that performs image processing using the frame memory. An image processing apparatus includes a cutout processing unit, a frame memory, and a synthesis processing unit. Each time an input frame is imaged by an imaging unit, the cutout processing unit cuts out a part of the input frame as a current cutout frame on the basis of motion of the imaging unit. The frame memory holds the current cutout frame as a past cutout frame. The synthesis processing unit synthesizes the current cutout frame and the past cutout frame, and outputs a result as a synthesis frame.

Abstract: A streaming orchestrator may monitor the quality of video being delivered to a home or other building. If the streaming orchestrator determines that additional performance is needed, it may create an additional User Plane Gateway in the virtual “white box” environment residing in the customer premises. The streaming orchestrator may instruct gNodeBs to continue to route traffic back to the central core functions or to route traffic to local user plane gateways which transmit video streams to the Internet via localized high-speed connections.

Abstract: An image capturing apparatus includes an image sensor, a shake detector, at least one processor and a memory storing a program including instructions, which when executed by the at least one processor, cause the at least one processor to function as: a selection unit configured to select any area in an image capturing area, a generation unit configured to generate shake information during exposure of a still image on the image sensor in accordance with a detection result of the shake detector during the exposure of the still image, a photographing condition, and the area selected by the selection unit, and a control unit configured to cause the shake information to be displayed on a display unit during the exposure of the still image on the image sensor.

Abstract: An image processing device includes: a display control unit configured to cause a display unit to display an image, and to cause the display unit to display a mark corresponding to a detection object detected in the image; and an output unit configured to output a number of the marks displayed on the display unit, wherein the display control unit adds or deletes a mark according to a user operation, and the output unit outputs the number of marks after the addition or after the deletion.

Abstract: A signal processing device for compensating for shaking of an imaging device is provided. The signal processing device includes a motion determination circuit configured to determine motion type information indicating whether a motion of the image device was caused by a hand-shake or was intended by a user based on motion detection information detected by a gyro sensor, a calculation circuit configured to calculate a correction coefficient based on the motion type information, a correction circuit configured to correct motion information calculated from the motion detection information based on the correction coefficient, and a processor configured to synchronize image data of the image device with the corrected motion information.

Abstract: A method, system, and article is directed to geolocation and attitude correction for mobile rolling shutter cameras.

Abstract: A method and system are provided to perform electronic image stabilization of images captured by an image sensor on a camera device. In the method and system, non-linear motion of a camera device is measured with a motion sensor during an exposure time for each line of a frame captured by the image sensor of the camera device. A first line of the frame has a first exposure time, and subsequent lines of the frame have an exposure time that is later than a previous line of the frame, each line of the frame having an associated position in the frame. The position of each line of the frame is adjusted based, at least in part, on the measured non-linear motion to create a modified frame that corrects for non-linear motion that occurred for each line of the frame.

Abstract: An example electronic device includes a camera, a sensor obtaining first motion information about motion of the electronic device, and a processor electrically connected to the camera and the sensor. The processor is configured to receive a plurality of image frames from the camera, to generate second motion information by applying a filter for a specified frequency band to the first motion information, to generate one or more image frames, in each of which at least partial motion of the motion is compensated based on the second motion information, from the at least part of image frames, and to display the one or more image frames through a display operatively connected to the electronic device. The receiving includes obtaining the first motion information about at least part of image frames among the plurality of image frames.