An image sensor includes a pixel array including a plurality of unit pixels arranged along a plurality of rows and a plurality of columns. Each of the unit pixels includes a photoelectric conversion element generating and accumulating photocharges, a charge detection node receiving the photocharges accumulated in the photoelectric conversion element, a readout circuit converting the photocharges accumulated in and output from the charge detection node into an electrical pixel signal, the readout circuit outputting the electrical pixel signal, a capacitive element, and a switching element controlling connection between the charge detection node and the capacitive element. Each of the rows of the pixel array includes first pixels connected to a first conversion gain control line and second pixels connected to a second conversion gain control line.

An image sensor includes a pixel array including a plurality of unit pixels arranged along a plurality of rows and a plurality of columns. Each of the unit pixels includes a photoelectric conversion element generating and accumulating photocharges, a charge detection node receiving the photocharges accumulated in the photoelectric conversion element, a readout circuit converting the photocharges accumulated in and output from the charge detection node into an electrical pixel signal, the readout circuit outputting the electrical pixel signal, a capacitive element, and a switching element controlling connection between the charge detection node and the capacitive element. Each of the rows of the pixel array includes first pixels connected to a first conversion gain control line and second pixels connected to a second conversion gain control line.

In an example embodiment, an image processing device includes a pixel array including pixels two-dimensionally arranged and configured to capture an image, each of the pixels including a plurality of photoelectric conversion elements and an image data processing circuit configured to generate image data from pixel signals output from the pixels. The image processing device further includes a color data processing circuit configured to extract color data from the image data and output extracted color data. The image processing device further includes a depth data extraction circuit configured to extract depth data from the image data and output extracted depth data. The image processing device further includes an output control circuit configured to control the output of the color data and the depth data.

A depth sensing system includes a sensor having first and second sensor pixels to receive light from a surface. The system also includes a filter to allow transmission of full spectrum light to the first sensor pixel and visible light to the second sensor pixel while preventing transmission of infrared light to the second sensor pixel. The system further includes a processor to analyze the full spectrum light and the visible light to determine a depth of the surface. The filter is disposed between the sensor and the surface.

Disclosed is an image processing method including adjusting a light exposure time of an image acquisition unit by using a target image converted to be output in a desired output mode among a plurality of output modes; and displaying target images acquired according to the adjustment.

An image pickup system includes an image pickup device including an image pickup section, a first amplifier circuit capable of amplifying a video signal for each field, and a communication circuit configured to acquire a set gain of the first amplifier circuit, a second amplifier circuit configured to amplify the video signal outputted from the image pickup device, and a processor. According to a result of a detection indicating that the video signal is not amplified by the set gain in the first amplifier circuit, a correction gain to be set in the second amplifier circuit is calculated.

Introduced here are computer programs and associated computer-implemented techniques for determining reflectance of an image on a per-pixel basis. More specifically, a characterization module can initially acquire a first data set generated by a multi-channel light source and a second data set generated by a multi-channel image sensor. The first data set may specify the illuminance of each color channel of the multi-channel light source (which is configured to produce a flash), while the second data set may specify the response of each sensor channel of the multi-channel image sensor (which is configured to capture an image in conjunction with the flash). Thus, the characterization module may determine reflectance based on illuminance and sensor response. The characterization module may also be configured to determine illuminance based on reflectance and sensor response, or determine sensor response based on illuminance and reflectance.

Systems, methods, and devices for fluorescence imaging with a minimal area image sensor are disclosed. A system includes an emitter for emitting pulses of electromagnetic radiation and an image sensor comprising a pixel array for sensing reflected electromagnetic radiation, wherein the pixel array comprises active pixels and optical black pixels. The system includes a black clamp providing offset control for data generated by the pixel array and a controller comprising a processor in electrical communication with the image sensor and the emitter. The system is such that at least a portion of the pulses of electromagnetic radiation emitted by the emitter comprises one or more of: electromagnetic radiation having a wavelength from about 770 nm to about 790 nm; or electromagnetic radiation having a wavelength from about 795 nm to about 815 nm.

A sensor includes a first image pixel array including first image pixels and a second image pixel array including second image pixels. A polarization layer is disposed between the first image pixels and the second image pixels. Scene light incident upon the second image pixels propagates through the first image pixels and the polarization layer to reach the second image pixels.

Multi-modal, portable, handheld devices for tissue assessment (e.g., wound assessment) are provided, as are methods of fabricating and methods of using the same. The devices can be used for virtual medicine (VM)-based wound management, such as VM-based diabetic foot triage (DFT) and management. The device can be used to take physiological measurements of temperature and/or tissue oxygenation of a wound to assess the wound, for example in a remote setting environment. The device can also be used to provide therapy for tissue repair and/or wound healing, apart from the multi-modal imaging of the tissue surface of the patient. For example, light therapy, such as low-level light therapy (LLLT) can be provided via one or more light emitting diodes (LEDs) and/or laser diodes.