An image sensor including: a pixel array including a plurality of pixels connected to a plurality of row lines and a plurality of column lines, each of the plurality of pixels including a photodiode for generating an electric charge in response to light, and a pixel circuit having a floating diffusion for storing the electric charge; and a controller configured to adjust a capacitance of the floating diffusion to a first value and obtain a first pixel signal from the pixel circuit during a first time period, adjust the capacitance of the floating diffusion to a second value greater than the first value and obtain a second pixel signal from the pixel circuit during a second time period subsequent to the first time period, and generate a result image using the first pixel signal and the second pixel signal.

A camera body includes an infrared LED that applies infrared light toward a face of a user that is a subject, and an infrared detection camera. The camera body determines a first irradiation amount of the infrared LED and a second exposure condition of the infrared detection camera in accordance with an LED OFF image acquired by capturing an image of the subject in a first exposure condition used by the infrared detection camera without the infrared light applied toward the subject, acquires the LED OFF image and acquires an image (LED ON image) of the subject irradiated with a first irradiation amount in image capture in a second exposure condition used by the infrared detection camera, and detect a face direction of the subject by using a difference image between these images.

In one example, an apparatus comprises a first photodiode, a second photodiode, a first floating diffusion, a second floating diffusion, a quantizer, and a controller. The controller can enable the first photodiode and the second photodiode to generate and accumulate photo charge within an exposure period, and use the quantizer to quantize reset voltages at the first floating diffusion and at the second floating diffusion to generate a first digital reset value and a second digital reset value. After the exposure period ends, the controller can transfer the photo charge from the first photodiode and the second photodiode to, respectively, the first floating diffusion and the second floating diffusion to generate a first signal voltage and a second signal voltage, and quantize the signal voltages into digital signal values using the quantizer. Digital representations can be generated based on the digital reset values and the digital signal values.

An image sensor and an image processing system in which the image sensor includes a sensing unit configured to generate a plurality of images having different luminances with respect to a same object, a pre-processor configured to merge n images (n is a natural number equal to or greater than 2) except for at least one of the plurality of images to generate a merged image, and an interface circuit configured to output the at least one image and the merged image to an external processor.

A non-uniformity correction (NUC) calibration method comprises obtaining image data for a plurality of images with an image sensor, wherein each image in the plurality of images is obtained at a different respective global pixel gain setting and global expose in the image sensor; and using the image data for non-uniformity correction calibration to compute pixel NUC values for the pixels in the image sensor. The method can further include storing the pixel NUC values and obtaining further image data corrected by the stored pixel NUC values. In embodiments, the method can include moving a platform based on the further image data. In certain embodiments, the platform can be a guided munition.

An image sensor includes a pixel array, in which a plurality of pixels are arranged, and a row driver for controlling the plurality of pixels. Each of the plurality of pixels includes a first photodiode, a second photodiode having a larger light-receiving area than the first photodiode, a first floating diffusion node in which charges generated by the first photodiode are stored, a first capacitor connected to the first floating diffusion node, and a capacitor control transistor having one end connected in series to the first capacitor. For each of the plurality of pixels, the row driver adjusts capacitance of the first floating diffusion node by using the capacitor control transistor for each of a plurality of preset operation modes during a readout period of the first photodiode.

An image sensor includes a pixel array, in which a plurality of pixels are arranged, and a row driver for controlling the plurality of pixels. Each of the plurality of pixels includes a first photodiode, a second photodiode having a larger light-receiving area than the first photodiode, a first floating diffusion node in which charges generated by the first photodiode are stored, a first capacitor connected to the first floating diffusion node, and a capacitor control transistor having one end connected in series to the first capacitor. For each of the plurality of pixels, the row driver adjusts capacitance of the first floating diffusion node by using the capacitor control transistor for each of a plurality of preset operation modes during a readout period of the first photodiode.

The present technology relates to a solid-state imaging device and an electronic apparatus that enable simultaneous acquisition of a signal for generating a high dynamic range image and a signal for detecting a phase difference.

The solid-state imaging device includes a plurality of pixel sets each including color filters of the same color, for a plurality of colors, each pixel set including a plurality of pixels. Each pixel includes a plurality of photodiodes PD. The present technology can be applied, for example, to a solid-state imaging device that generates a high dynamic range image and detects a phase difference, and the like.

Examples are disclosed that relate to blending different types of images captured by different types of cameras employing different sensing modalities based on a dynamic weighting. The dynamic weighting is calculated based on a dynamic quality proxy that serves as an approximation of image quality that may change from image to image. In one example, a first image of a scene is received from a first camera. A dynamic quality proxy is received. A second image of the scene is received from a second camera with a different sensing modality than the first camera. A composite image blended from the first and second images in proportion to a dynamic weighting that is based on the dynamic quality proxy is output.

Systems and methods for generating high dynamic images from interleaved Bayer array data with high spatial resolution and reduced sampling artifacts. Bayer array data are demosaiced into components of the YUV color space before deinterleaving. The Y component and the UV components can be derived from the Bayer array data through demosiac convolution processes. A respective convolution is performed between a convolution kernel and a set of adjacent pixels of the Bayer array that are in the same color channel. A convolution kernel is selected based the mosaic pattern of the Bayer array and the color channels of the set of adjacent pixels. The Y data and UV data are deinterleaved and interpolated into frames of short exposure and long exposures in the second color space. The short exposure and long exposure frames are then blended and converted back to a RGB frame representing a high dynamic range image.