An image capturing apparatus comprises: an image sensor including a pixel region including a plurality of pixel units, arranged in a matrix, each having first and second photoelectric conversion units, and a storage unit provided for each column; and a driving unit configured to drive the image sensor by, for each pixel unit to be read of the plurality of pixel units, exclusively selecting an operation of combining a signal of the first photoelectric conversion unit and a signal of the second photoelectric conversion unit for each pixel unit and outputting the combined signal to the storage unit, an operation of reading a signal from the first photoelectric conversion unit of each pixel unit to the storage unit, or an operation of reading a signal from the second photoelectric conversion unit of each pixel unit to the storage unit.

The present application describes an information processing method for solving a technical problem of low efficiency in an electronic device. The method includes capturing the first image by a first image capturing unit among at least two image capturing units, and at the same time, capturing a second image by a second image capturing unit among the at least two image capturing units, where the first image and the second image correspond to the same captured object; such that the pixels in the first image is less than those in the second image; transmitting the first image and the second image to an image processing unit; in the process of transmitting the second image, determining a processing way according to at least one characteristic parameter information corresponding to the first image by the image processing unit.

[Solving Means] An image processing apparatus includes an image processor. The image processor inputs image data, determines an amount of motion within an image on the basis of the image data, and corrects and outputs a luminance of the image data such that a contrast of an object whose amount of motion is large increases.

[Object] To provide stable infrared images. [Solution] Provided is an image processing device including: an acquisition unit that acquires an infrared image; and a control unit that variably controls a target wavelength of the infrared image acquired by the acquisition unit and controls gradation of the infrared image depending on the target wavelength.

Disclosed is a wireless on-site teaching system, comprising a video-capture device and at least one display terminal device. The video-capture device comprises a Complementary Metal-Oxide-Semiconductor (CMOS) sensor, a signal processor, a buffer, and a wireless Access Point (AP) module. The CMOS sensor is configured to convert a collected optical signal to a parallel video digital signal. The signal processor is configured to convert the parallel video digital signal to a serial video digital signal. The buffer is configured to cache the serial video digital signal. The wireless AP module is configured to send the serial video digital signal out wirelessly. The display terminal device comprises a wireless receiving module and a display module. In the present invention, a video-capture device can be simultaneously connected to multiple display terminal devices, and is free of limitation; the display terminal device can directly display video data, improving learning effects.

The present disclosure discloses an imaging method. The imaging method comprises: providing an image sensor, the image sensor comprising a photosensitive pixel array and a filter arranged on the photosensitive unit array, the filter comprising a filter cell array, and each filter cell covering a plurality of photosensitive pixels to form a merged pixel; and reading outputs of the photosensitive pixel array, and adding the outputs of the photosensitive pixels of the same merged pixel to obtain a pixel value of the merged pixel, thereby producing a merged image. Images, having higher signal to noise ratio, brightness, and definition, and less noise, can be captured by using the imaging method in low light. The present disclosure also discloses an imaging device using the imaging method and an electronic device using the imaging device.

Provided is an object detection device (13) using a detection means (11) to transmit probe waves, receive reflected waves from an object (50) in a detection range, and acquire, as first detection information on the object, a position based on the reflected waves, to detect the object. The device includes an image information acquisition means, determination region setting means, and an object locating means. The image information acquisition means acquires, as second detection information on the object, a position based on an image of an area within the detection range, the image being captured by an image capturing means (12). The determination region setting means sets a determination region in the detection range. The object locating means locates the object, based on the first detection information, if pieces of the first and second detection information are present in the determination region.

The present technology ensures that electrooptical conversion processing for transmission video data obtained using an HDR optoelectrical conversion characteristic is favorably carried out at a receiving side. The transmission video data is obtained by performing high dynamic range optoelectrical conversion on high dynamic range video data. A video stream is obtained by applying encoding processing to this transmission video data. A container in a predetermined format including this video stream is transmitted. Meta information indicating an electrooptical conversion characteristic corresponding to a high dynamic range optoelectrical conversion characteristic is inserted into a parameter set field in the video stream.

An endoscopic image processing apparatus includes a memory configured to store a threshold THn to determine a dark region in the near-point image inputted, a brightness correction circuit configured to perform brightness correction on the near-point image based on the threshold THn depending on timing of acquiring the near-point image and perform second brightness correction on the far-point image based on a threshold THf on the far-point image, and a light distribution state determination circuit configured to determine whether a light distribution state of a live image from an endoscope is a light distribution state of the near-point image. The brightness correction circuit, in the timing of acquiring the near-point image, performs the first brightness correction when the light distribution state determination circuit determines that the light distribution state of the live image is the light distribution state of the near-point image.

An image color brightness compensation method includes generating image data of a plurality of pixels by using a Bayer color filter of an image sensing unit, generating demosaic image data after the image data of the plurality of pixels is processed by a demosaic process, executing a linear combination process of the demosaic image data by using at least one matrix for generating output image data, processing the output image data by using a blending unit for generating blended image data, generating a brightness compensation gain of the blended image data, and compensating image brightness of the blending image data for generating brightness compensated image data according to the brightness compensation gain.