An image capture device includes a plurality of independently formed camera channels. Each of the plurality of independently formed camera channels includes a respective lens that receives incident light and transmits the incident light to a respective sensor without transmitting the incident light to respective sensor of other camera channels within the plurality of independently formed camera channels. Further, a processor that is communicatively coupled to the respective sensor of each of the plurality of independently formed camera channels. The processor is configured to control an integration time of the respective sensor of each of the plurality of independently formed camera channels individually with the receive respective images from the respective sensor of each of the plurality of independently formed camera channels, and form a combined image by combing each of the respective images.

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.

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.

This application discloses an image processing method and apparatus, and relates to the field of image processing technologies, to help optimize a color, a contrast, or a dynamic range of an image, so that an optimized image can be more objective, and robustness is improved. The method is applied to a terminal including a first camera and a second camera. The method includes: when an ISO of the first camera in a current photographing environment is greater than a first threshold, capturing a first image for a first scenario in the current photographing environment; capturing a second image for the first scenario; and optimizing the first image based on the second image to obtain a third image. An image style of the second image is better than that of the first image.

To reliably and efficiently detect an event.

An imaging device includes: a plurality of photoelectric conversion elements each of which is configured to photoelectrically convert incident light to generate an electric signal; a plurality of detectors each of which is configured to output a detection signal in a case where an absolute value of an amount of change in the electric signal generated by each of the plurality of photoelectric conversion elements exceeds a predetermined threshold value; and a threshold value adjustment unit configured to adjust the threshold value on the basis of a detection situation of the respective detection signals from the plurality of detectors.

To reliably and efficiently detect an event.

An imaging device includes: a plurality of photoelectric conversion elements each of which is configured to photoelectrically convert incident light to generate an electric signal; a plurality of detectors each of which is configured to output a detection signal in a case where an absolute value of an amount of change in the electric signal generated by each of the plurality of photoelectric conversion elements exceeds a predetermined threshold value; and a threshold value adjustment unit configured to adjust the threshold value on the basis of a detection situation of the respective detection signals from the plurality of detectors.

A substrate inspection apparatus configured to inspect a substrate with an image obtained by imaging a surface of the substrate includes a holder 31 configured to hold the substrate; a first light source unit 51 configured to emit visible light to the substrate held by the holder 31; a second light source unit 52 configured to emit infrared light to the substrate held by the holder 31; a first imaging sensor configured to capture a visible light image of the surface of the substrate by receiving first reflected light emitted from the substrate as a result of radiating the visible light; and a second imaging sensor configured to capture an infrared light image of the surface of the substrate by receiving second reflected light emitted from the substrate as a result of radiating the infrared light.

A substrate inspection apparatus configured to inspect a substrate with an image obtained by imaging a surface of the substrate includes a holder 31 configured to hold the substrate; a first light source unit 51 configured to emit visible light to the substrate held by the holder 31; a second light source unit 52 configured to emit infrared light to the substrate held by the holder 31; a first imaging sensor configured to capture a visible light image of the surface of the substrate by receiving first reflected light emitted from the substrate as a result of radiating the visible light; and a second imaging sensor configured to capture an infrared light image of the surface of the substrate by receiving second reflected light emitted from the substrate as a result of radiating the infrared light.

Examples relate to systems, methods and computer programs for a microscope system and for determining a transformation function, and to a corresponding microscope system. The system for the microscope system comprises one or more processors and one or more storage devices. The system is configured to obtain first imaging sensor data from a first imaging sensor of a microscope of the microscope system and second imaging sensor data from a second imaging sensor of the microscope, the first imaging sensor data comprises sensor data on light sensed in a first plurality of mutually separated wavelength bands. The second imaging sensor data comprises sensor data on light sensed in a second plurality of mutually separated wavelength bands. The wavelength bands of the first plurality of mutually separated wavelength bands or of the second plurality of mutually separated wavelength bands are wavelength bands that are used for fluorescence imaging. The system is configured to generate a composite color image based on the first imaging sensor data and based on the second imaging sensor data. The composite color image is based on a plurality of color channels. The composite color image is generated using a transformation function to define a transformation to be performed between the imaging sensor data and the composite color image, such that the composite color image is generated using sensor data on light sensed in each wavelength band of the first and second plurality of mutually separated wavelength bands.

Examples relate to systems, methods and computer programs for a microscope system and for determining a transformation function, and to a corresponding microscope system. The system for the microscope system comprises one or more processors and one or more storage devices. The system is configured to obtain first imaging sensor data from a first imaging sensor of a microscope of the microscope system and second imaging sensor data from a second imaging sensor of the microscope, the first imaging sensor data comprises sensor data on light sensed in a first plurality of mutually separated wavelength bands. The second imaging sensor data comprises sensor data on light sensed in a second plurality of mutually separated wavelength bands. The wavelength bands of the first plurality of mutually separated wavelength bands or of the second plurality of mutually separated wavelength bands are wavelength bands that are used for fluorescence imaging. The system is configured to generate a composite color image based on the first imaging sensor data and based on the second imaging sensor data. The composite color image is based on a plurality of color channels. The composite color image is generated using a transformation function to define a transformation to be performed between the imaging sensor data and the composite color image, such that the composite color image is generated using sensor data on light sensed in each wavelength band of the first and second plurality of mutually separated wavelength bands.