To provide a microscope device capable of efficiently or appropriately acquiring an image of a specific region of a living tissue.

The present technology provides a microscope device including: a first imaging element that images a target including a body tissue and acquires image data; and a second imaging element that images the target at a magnification different from a magnification of the first imaging element and acquires image data, in which the first imaging element includes a determination unit that determines a feature related to the target on the basis of the image data, and the second imaging element is controlled on the basis of a result of the determination. Furthermore, the present technology also provides an image acquisition system including the microscope device. Furthermore, the present technology also provides an image acquisition method performed in the microscope device.

An apparatus includes a calculation unit configured to calculate a target correction amount based on a shake, a stabilization control unit configured to provide control on driving of a sensor in a direction intersecting an optical axis of a pickup optical system, based on the target correction amount, an autofocusing control unit configured to provide control on focusing based on an image signal output from the sensor, and a setting unit configured to set a limit value for the target correction amount based on a characteristic of the pickup optical system and focusing accuracy of the autofocusing unit. The setting unit is configured to change the limit value depending on the pickup condition, and is capable of setting a first limit value based on the characteristic and a second limit value based on the focusing accuracy.

A wearable apparatus including a camera and a method of controlling the same is provided. The method includes determining a vision processing process to be performed on each of image frames obtained at a first frame rate, determining a dummy image frame on which the vision processing process is not to be performed, applying, to a camera, a camera setting corresponding to a vision processing process to be performed on a current image frame, obtaining the current image frame according to the applied camera setting, outputting the obtained current image frame from the camera, and setting an exposure time of the camera setting to be less than or equal to an threshold value or changing the first frame rate to a second frame rate in response to the current image frame being the dummy image frame.

A wearable apparatus including a camera and a method of controlling the same is provided. The method includes determining a vision processing process to be performed on each of image frames obtained at a first frame rate, determining a dummy image frame on which the vision processing process is not to be performed, applying, to a camera, a camera setting corresponding to a vision processing process to be performed on a current image frame, obtaining the current image frame according to the applied camera setting, outputting the obtained current image frame from the camera, and setting an exposure time of the camera setting to be less than or equal to an threshold value or changing the first frame rate to a second frame rate in response to the current image frame being the dummy image frame.

An electronic apparatus includes an imaging element having a plurality of image capture regions, each of the image capture regions having a plurality of pixels for generating an image signal; a setting unit that sets different image capture conditions for the plurality of image capture regions; and a control unit that corrects a portion of an image signal of a photographic subject captured under first image capture conditions in an image capture region among the plurality of image capture regions so that it is as if the portion of the image signal was captured under second image capture conditions.

The technical problem of automatically reprocessing an image captured by a camera in a manner that produces a personalized result is addressed by providing a customized image reprocessing system powered by machine learning techniques. The customized image reprocessing system is configured to automatically reprocess an image on a pixel level using a machine learning model that takes, as input, the image represented by pixel values, sensor data detected by the digital sensor of a camera at the time the image was captured, and, also, flash calibration parameters previously generated for that specific user.

The technical problem of automatically reprocessing an image captured by a camera in a manner that produces a personalized result is addressed by providing a customized image reprocessing system powered by machine learning techniques. The customized image reprocessing system is configured to automatically reprocess an image on a pixel level using a machine learning model that takes, as input, the image represented by pixel values, sensor data detected by the digital sensor of a camera at the time the image was captured, and, also, flash calibration parameters previously generated for that specific user.

A control apparatus includes a first acquiring unit configured to acquire a hyperfocal length of a lens apparatus that is attachable to, detachable from, and communicable with an image pickup apparatus, using information acquired by communication between the lens apparatus and the image pickup apparatus, and a second acquiring unit configured to acquire a position of a focus lens in the lens apparatus according to the hyperfocal length.

An image capturing apparatus includes an image capturing unit configured to change a charge accumulation time for each area, a histogram calculation unit configured to calculate a histogram of a pixel value for the each area, an area increase/decrease unit configured to increase or decrease the number of divisions of the area based on the histogram calculated by the histogram calculation unit, and a determination unit configured to determine a charge accumulation time of the each area of which number has been increased or decreased by the area increase/decrease unit.

A processing circuitry is configured to generate a first analysis result based on a size of a partial area of a target area when the partial area is captured by only one of a first sensor or a second sensor, based on first image data for the target area captured by the first sensor and second image data for the target area captured by the second sensor, and generate first final image data or second final image data by using the first image data and the second image data, based on the first analysis result. A difference between the first final image data and the second final image data is based on a difference between a first characteristic of the first sensor and a second characteristic of the second sensor.