H04N23/68

INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, IMAGE CAPTURING APPARATUS, STORAGE MEDIUM
20230230282 · 2023-07-20 ·

An information processing apparatus comprises a first acquisition unit that acquires a captured image obtained by capturing an image of a chart for calibration, a second acquisition unit that acquires a reference image which is an image of the chart that serves as a reference, a third acquisition unit that acquires information on distortion aberration of a lens used to capture the captured image, a first generation unit that generates a pseudo image which is an image obtained by reflecting the distortion aberration in the reference image, based on the reference image and the information on distortion aberration, and a second generation unit that generates a composite image obtained by compositing the captured image and the pseudo image.

CAMERA MODULE THAT PERFORMS IMAGE STABILIZATION
20230229058 · 2023-07-20 ·

A camera module includes a lens assembly aligned along an optical axis, an optical image stabilization (OIS) carrier coupled to the lens assembly to move the lens assembly on a plane perpendicular to the optical axis, and a housing to accommodate the lens assembly and the OIS carrier. A first OIS magnet and a second OIS magnet are fixed to a first side surface of the OIS carrier, and are arranged side by side on the first side surface along a direction perpendicular to the optical axis. A first OIS coil member and a second OIS coil member face the first OIS magnet and the second OIS magnet, respectively. A first portion of the first OIS magnet is adjacent to the second OIS magnet and a second portion of the second OIS magnet is adjacent to the first OIS magnet.

IMAGE BLUR CORRECTION APPARATUS, CONTROL METHOD THEREFOR, IMAGING APPARATUS, AND STORAGE MEDIUM
20230232102 · 2023-07-20 ·

An image blur correction apparatus comprises an object detection unit configured to output a position of the part of the object, a selection unit configured to select a part of an object from among parts of one or more objects, and an object blur correction amount calculation unit configured to calculate an object blur correction amount, wherein the object blur correction amount calculation unit, when a part of an object selected by the selection unit is switched from a first part to a second part, calculates the object blur correction amount based on a difference between a position of the selected part of the object and the target position, a position of the second part in an image, and a position of the first part in an image acquired before switching.

IMAGE CAPTURING APPARATUS CAPABLE OF SWINGING IMAGE SENSOR
20230232088 · 2023-07-20 ·

An image capturing apparatus includes an image sensor unit having an image sensor in a state swingable within a plane orthogonal to an image capturing optical axis, a cooling plate connected to the image sensor unit, and a heat dissipation unit attached to a rear side plate. The heat dissipation unit includes a heat dissipation rubber movable in the image capturing optical axis direction between a contact position in contact with the cooling plate and a spaced position spaced from the cooling plate, and a graphite sheet that connects between the heat dissipation rubber and a heat dissipation plate. In the contact position of the heat dissipation rubber, heat from the image sensor is transferred to the rear side plate via the cooling plate, the heat dissipation rubber, the graphite sheet, and the heat dissipation plate.

VIBRATION APPARATUS, IMAGE PICKUP APPARATUS, CONTROL METHOD OF VIBRATION APPARATUS, AND STORAGE MEDIUM
20230232095 · 2023-07-20 ·

A vibration apparatus includes a vibrating unit, and a control unit configured to control vibration of the vibrating unit. The control unit changes a vibration pattern of the vibrating unit by controlling the vibrating unit so as to change at least one of a vibration amplitude, a vibration frequency, and a vibration time according to at least one of a detection result of an offset amount from an in-focus position and a detection result of a predetermined object image in a mode that continuously performs autofocus processing.

Depth-based image stabilization
11704776 · 2023-07-18 · ·

Depth information can be used to assist with image processing functionality, such as image stabilization and blur reduction. In at least some embodiments, depth information obtained from stereo imaging or distance sensing, for example, can be used to determine a foreground object and background object(s) for an image or frame of video. The foreground object then can be located in later frames of video or subsequent images. Small offsets of the foreground object can be determined, and the offset accounted for by adjusting the subsequent frames or images. Such an approach provides image stabilization for at least a foreground object, while providing simplified processing and reduce power consumption. Similarly processes can be used to reduce blur for an identified foreground object in a series of images, where the blur of the identified object is analyzed.

Depth-based image stabilization
11704776 · 2023-07-18 · ·

Depth information can be used to assist with image processing functionality, such as image stabilization and blur reduction. In at least some embodiments, depth information obtained from stereo imaging or distance sensing, for example, can be used to determine a foreground object and background object(s) for an image or frame of video. The foreground object then can be located in later frames of video or subsequent images. Small offsets of the foreground object can be determined, and the offset accounted for by adjusting the subsequent frames or images. Such an approach provides image stabilization for at least a foreground object, while providing simplified processing and reduce power consumption. Similarly processes can be used to reduce blur for an identified foreground object in a series of images, where the blur of the identified object is analyzed.

Efficient image analysis

Methods, systems, and apparatus for efficient image analysis. In some aspects, a system includes a camera configured to capture images, one or more environment sensors configured to detect movement of the camera, a data processing apparatus, and a memory storage apparatus in data communication with the data processing apparatus. The data processing apparatus can access, for each of a multitude of images captured by a mobile device camera, data indicative of movement of the camera at a time at which the camera captured the image. The data processing apparatus can also select, from the images, a particular image for analysis based on the data indicative of the movement of the camera for each image, analyze the particular image to recognize one or more objects depicted in the particular image, and present content related to the one or more recognized objects.

Camera module and optical device comprising same

A camera includes a lens barrel, a holder, a filter disposed in the holder, a circuit board having an aperture, a reinforcing member including a first region corresponding to the aperture and a second region in which the circuit board is disposed, and an image sensor disposed in the first region of the reinforcing member. The first region of the reinforcing member includes a protruding part protruding farther than the second region of the reinforcing member. The image sensor is disposed on the upper surface of the protruding part.

Method and apparatus for implementing a digital graduated filter for an imaging apparatus
11706528 · 2023-07-18 · ·

A digital graduated filter is implemented in an imaging device by combining multiple images of the subject wherein the combining may include combining different numbers of images for highlights and for shadows of the subject. The imaging device may present a user with a set of pre-defined graduated filter configurations to choose from. A user may also specify the direction of graduation and strength of graduation in a viewfinder. In an alternative implementation, combining may include scaling of pixels being added instead of varying the number of images being combined. In an alternative implementation, the combining of multiple images may include combining a different number of images for highlights of the subject than for shadows of subject.