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: An optical lens assembly includes, in order from the object side to the image side: a first lens with negative refractive power, a second lens with positive refractive power, a stop, a third lens with positive refractive power, a fourth lens with positive refractive power, a fifth lens with negative refractive power, and an IR band-pass filter. A maximum field of view of the optical lens assembly is FOV, a f-number of the optical lens assembly is Fno, a distance from an object-side surface of the first lens to an image plane along an optical axis is TL, a distance from an image-side surface of the fifth lens to the image plane along the optical axis is BFL, an entrance pupil diameter of the optical lens assembly is EPD, and the following conditions are satisfied: 0.58<FOV/(Fno*100)<1.28 and 4.76<(TL?BFL)/EPD<12.03.

Abstract: An image processing apparatus includes a camera configured to generate first image data, a pre-processor configured to generate second image data based on performing a pre-processing operation on the first image data, a neural network processor configured to generate third image data based on performing an image processing operation on the second image data based on using a neural network model trained to perform one or more particular image processing operations, and a main processor configured to generate corrected image data based on performing a post-processing operation on the third image data.

Abstract: In one example, an imaging device includes stacked first and second substrates. The first substrate has an array of light receiving pixels divisible into pixel blocks and the second substrate has a pixel control portion that controls the pixels. The first substrate includes a first wiring line that transmits a first voltage, a second wiring line that transmits a second voltage, and a fault detection circuit that detects a wiring fault for each pixel block. The fault detection circuit detects a wiring fault by connecting wiring lines corresponding to pixel columns or pixel rows in series in each pixel block, connecting one of the ends of a wiring chain connected in series in each pixel block to the first wiring line, connecting the other end to the second wiring line, and detecting a wiring fault based on a potential at an intermediate position of the wiring chain.

Abstract: An image processing apparatus comprising a first detection unit configured to detect a first area in an image of an image signal output from an image pickup element, a second detection unit configured to detect one or more second areas each corresponding to an eye included in the first area in the image, a specification unit configured to receive an area specification instruction by a user operation and to specify one area in the image, and a setting unit configured to set an object corresponding to the area specified by the specification unit to be focused on, wherein, in a case where the first area is detected by the first detection unit, the specification unit receives specification of the eye in an area based on the first area regardless of a detection result of the second areas.

Abstract: The accessory apparatus includes an accessory communicator providing a notification channel (RTS), a first data communication channel (DCL) and a second data communication channel (DCL). The accessory controller transmits, in a transmission request receiving state of receiving a transmission request from an image-capturing apparatus through the notification channel, accessory data to the image-capturing apparatus through the first data communication channel, and receives camera data transmitted through the second data communication channel from the image-capturing apparatus in response to receiving the accessory data. The accessory controller stops, in the transmission request receiving state and during transmission of the accessory data to the image-capturing apparatus, in response to becoming a non-transmission request receiving state, transmitting the accessory data to the image-capturing apparatus.

Abstract: The present disclosure relates to a video processing method and apparatus, a computer-readable medium and an electronic device. The method is applied to a first terminal, including: identifying a target object in a current video frame; receiving a special effect setting instruction input by a user; determining a plurality of special effects to be superposed according to the special effect setting instruction; and superposing the plurality of special effects to be superposed with the target object to acquire a processed video frame. In this way, synchronous superposition of a plurality of special effects can be implemented by one video processing process based on the current video frame, so that the plurality of special effects can take effect at the same time, thereby improving processing efficiency of special effects. In addition, an unnecessary intermediate video rendering process is also omitted, which is beneficial to improve terminal performance and user experience.

Abstract: An imaging device includes a first electrode, a charge accumulating electrode arranged with a space from the first electrode, an isolation electrode arranged with a space from the first electrode and the charge accumulating electrode and surrounding the charge accumulating electrode, a photoelectric conversion layer formed in contact with the first electrode and above the charge accumulating electrode with an insulating layer interposed therebetween, and a second electrode formed on the photoelectric conversion layer. The isolation electrode includes a first isolation electrode and a second isolation electrode arranged with a space from the first isolation electrode, and the first isolation electrode is positioned between the first electrode and the second isolation electrode.

Abstract: The described technology is directed towards a production shot design system that facilitates previsualizing scene shots, including by members of a production crew (running client devices) in different locations in a collaborative and secure shot construction environment. Modifiable scene elements' properties and camera data can be manipulated to build a scene (shot) containing modifiable and non-modifiable scene elements. In an online, shared camera mode, changes to a scene can be communicated to other client devices, e.g., virtually immediately, so that each client device displays the change for other users to see at an interactive frame rate. Scene changes can also be made locally and/or in an offline mode before communicating to other users. In various aspects, animation and a video plane camera/video plane (e.g., greenscreen) are integrated into the production shot design system.

Abstract: This interference image imaging apparatus includes a first optical member (21) and a second optical member (22), and has a first portion (8) for transmitting a first bundle of rays (7) to change a direction of outgoing light with respect to incident light, and a second portion (10) for changing a phase of second bundle of rays (9) with respect to the first bundle of rays (7).

Abstract: An example method of single-exposure multiple-frame image capture, making an HDR video, comprising, capturing a series of frames at an underexposed setting, selecting a reference image from the series of frames, aligning the series of frames to the reference image, merging the series of frames into one frame based on the reference image, indexing the reference image to a next frame in the series of frames, resulting in an indexed reference image, realigning the series of frames to the indexed reference image and remerging the series of frames into a single frame based on the indexed reference image.

Abstract: A camera module including a printed circuit board, an image sensor disposed on the printed circuit board, a holder disposed on the printed circuit board, a case disposed on the holder, a lens disposed in the case, an auto focus actuator configured to move the lens in an optical axis direction, a conductive member electrically connected to the auto focus actuator, and an insulation member disposed on the conductive member, wherein the auto focus actuator comprises a bobbin coupled to the lens, a coil disposed on the bobbin, a magnet facing the coil and a spring coupled to the bobbin, wherein the conductive member is electrically connected to the spring, and wherein insulation member comprises an epoxy.

Abstract: A machine learning (ML) operating mode is selected for a camera. A physical orientation of a housing of a camera is determined. In response to determining the orientation, an operating mode from a set of operating modes is selected. The set of operating modes includes at least a ML inference mode and a ML training mode. Based on the selected operating mode, images obtained by an image capturing unit are processed. In the ML inference mode, a ML controller applies a ML model to the images to infer or predict characteristics of the image (e.g., detecting objects within the images). In the ML training mode, the ML controller is configured to cause a ML model to be trained using images captured by the image capturing unit, either local to the camera or on a remotely located computing device.

Abstract: An electronic device includes a device housing supporting a user interface, one or more touch sensors, and at least one image capture device. One or more processors cause, in response to the user interface receiving user input initiating a video capture operation, the at least one image capture device to capture a plurality of video frames. The plurality of video frames are processed with a first video stabilization operation when the electronic device is supported by a multi-handed touch input and a second video stabilization operation when the electronic device is supported by a single-handed touch input. The first video stabilization operation crops less of each image than the second video stabilization operation since the electronic device is likely more stable when supported by the multi-handed touch input.

Abstract: Processing raw image data in a camera includes computing a luminance image from the raw image data, and computing a chrominance image corresponding to at least one of the sensor's image colors from the raw image data. The luminance image and chrominance image(s) can represent the same range of colors able to be represented in the raw image data. The chrominance image can have a lower resolution than that of the luminance image. A camera for performing the method is also disclosed.

Abstract: A solid-state imaging device having a backside illuminated structure, includes: a pixel region in which pixels each having a photoelectric conversion portion and a plurality of pixel transistors are arranged in a two-dimensional matrix; an element isolation region isolating the pixels which is provided in the pixel region and which includes a semiconductor layer provided in a trench by an epitaxial growth; and a light receiving surface at a rear surface side of a semiconductor substrate which is opposite to a multilayer wiring layer.

Abstract: A time-of-flight (TOF) sensing system may include an illumination module and a sensor module. The sensor module may include an array of sensor pixels, pixel-level readout circuitry, and column-level readout circuitry coupled to the pixel-level readout circuitry via corresponding column lines. Pixel-level readout circuitry may be provided on a per-pixel basis (e.g., dedicated or unshared per-pixel readout circuitry may be provided for each pixel). Pixel-level readout circuitry may include one or more correlated double sampling stages and a storage stage. The storage stage may include a set of capacitors each configured to store different phase data generated by a corresponding pixel for a TOF sensing operation.

Abstract: The present embodiment relates to a dual camera module comprising a first camera module and a second camera module, wherein: a first magnet unit of the first camera module includes a first magnet and a second magnet, both disposed opposite to each other on a side surface of a first housing; a second magnet unit of the second camera module includes a third to a sixth magnet arranged on four respective corners of a second housing; a third magnet unit is disposed on a side surface of the first housing facing the second housing; the third magnet unit is disposed between the first magnet and the second magnet; and the third magnet unit is smaller than the first magnet and is disposed on a virtual line connecting an optical axis of the first camera module and an optical axis of the second camera module.

Abstract: Some embodiments of the current invention relate to a methods and/or systems of automated capture, processing and/or dissemination of images. Optionally, a quick access (e.g. single gesture selection) is provided on a device user interface to capture, process and/or disseminate an image according to one of a plurality of protocols. As a picture is captured it is optionally processed and/or disseminated. Optionally this reduces the need for later intervention to classify, process and/or disseminate images. Optionally, the capture protocol may include maintenance actions, for example preserving a desired status of a collection of photos automatically when a captured photo is added to the collection and/or removing images under some conditions. In some embodiments, the device also includes an interface for defining configurations and/or disseminating defined configurations of image capturing and/or image sharing protocols.

Abstract: Provided are an effect video determination method and apparatus, an electronic device and a storage medium. The method includes: acquiring effect operation information in a process of shooting a video, where the effect operation information includes at least one of a speech effect operation, a touch effect operation or a gesture effect operation; retrieving a target to-be-added effect corresponding to the effect operation information from an effect repository; fusing the target to-be-added effect and a to-be-processed video frame to determine a target effect video frame; and determining a target effect video based on a plurality of target effect video frames.