A system, method, and computer program product are provided for obtaining low-noise, high-speed captures of a photographic scene. In use, a first cell of a first pixel is in communication with a first node for storing a first sample. Further, a second cell of a second pixel is in communication with a second node for storing a second sample. Still further, the first cell and the second cell are communicatively coupled.

An apparatus includes an image sensor configured to capture a plurality of images different in in-focus position, at least one memory configured to store instructions, and at least one processor in communication with the at least one memory and configured to execute the instructions to determine a predetermined value of exposure in advance, control exposure so that the image sensor captures the plurality of images with the exposure less than the predetermined value, and correct brightness of at least a part of the plurality of images based on the predetermined value.

A system and method are provided to improve quality in an under-display camera (UDC) system with radially-increasing distortion. At least one processor receives an image and performs multi-frame processing, image signal processing, and a point spread function inversion (PSFI) on the image to produce a processed image. A PSFI radial coring is applied on the processed image to reduce noise in the processed image resulting from the PSFI. The at least one processor can apply a chroma suppression to the processing of the image to reduce brightness and color saturation is select areas in the processed image. Image restoration can be performed on the processed image to produce an output image. The image restoration may include generating a dither signal, applying a dither signal corner attenuation to the dither signal, combining the attenuated dither signal with a sharpened denoised signal, and applying a halo suppression on the combined signals.

A signal processing apparatus that processes image data output from a photoelectric conversion unit including a light-receiving region and a light-blocking region. The apparatus includes a control data generation unit that outputs control data used to generate correction data for correcting the image data using a trained model generated through machine learning, and a signal processing unit that generates the correction data on the basis of light-blocked image data and the control data, the light-blocked image data being image data, among the image data, that is from the light-blocking region, and corrects light-received image data in accordance with the correction data without applying the trained model, the light-received image data being image data, among the image data, that is from the light-receiving region.

A novel in-vivo image capture device for capsule endoscope and its method of operation are described. The device includes a wafer level camera module design, high sensitivity backside illumination pixel with high definition image output and LED's to provide illumination, which is synchronized with an image sensor strobe signal. A frame rate of the device can be adjusted based on an angular motion detection from a gyroscope sensor, in which a high frame rate mode is maintained during fast motion while a low frame rate is maintained during slow or no motion. The image capture device also includes machine learning based SOC for image processing, enhancement, and compression. The SOC can process and store zone average of images. The image capture device also includes a high density flash storage to store images in the device, thus no RF transmitter is needed, which make the system more convenient to use.

An imaging control method is provided. The method may include obtaining a current image generated based on an exposure parameter, wherein the current image includes a plurality of pixels; determining a plurality of target pixels or target pixel groups from at least portion of the plurality of pixels; determining a statistic representation based on target pixels or target pixel groups; determining a characteristic feature based on the statistic representation; and, updating the exposure parameter, based on the characteristic feature, to generate an updated image.

A real-time video enhancement method performed at a terminal includes: obtaining an average luminance of a current frame of an image; in accordance with a determination that the average luminance is less than the luminance threshold: obtaining a pixel range of an area of interest of the current frame; determining a local enhancement curve of the current frame according to the pixel range of the area of interest of the current frame; determining a first enhancement curve corresponding to the current frame according to the average luminance of the current frame; determining a second enhancement curve of the current frame according to the local enhancement curve of the current frame and the first enhancement curve of the current frame; and adjusting the current frame according to the second enhancement curve.

A biological observation system includes: a light source apparatus configured to supply a first illuminating light, and a second illuminating light, while switching between the first illuminating light and the second illuminating light; an image pickup device configured to receive light from an object at each of a plurality of pixels having different sensitivities, and picks up an image; a color separation processing portion configured to separate, from respective color components, a color component obtained when an image of light of a predetermined wavelength band is picked up by a pixel having the greatest sensitivity to the light in the predetermined wavelength band; and a control portion configured to cause different processing to be performed between a case where an inputted image pickup signal corresponds to the first illuminating light and a case where an inputted image pickup signal corresponds to the second illuminating light.

A system, method, and computer program product are provided for capturing digital images. In use, at least one ambient exposure parameter is determined, and at least one flash exposure parameter based on the at least one ambient exposure parameter is determined. Next, via at least one camera module, an ambient image is captured according to the at least one ambient exposure parameter, and, via the at least one camera module, a flash image is captured according to the at least one flash exposure parameter. The captured ambient image and the captured flash image are stored. Lastly, the captured ambient image and the captured flash image are combined to generate a first merged image. Additional systems, methods, and computer program products are also presented.

An example method includes determining, by a controller of an image capture system, a plurality of sets of exposure parameter values for one or more exposure parameters. The plurality of sets of exposure parameter values are determined at an exposure determination rate. The method further includes capturing, by an image capture device of the image capture system, a plurality of images. Each image of the plurality of images is captured according to a set of exposure parameter values of the plurality of sets of exposure parameter values. The method also includes sending, by the controller of the image capture system to an image processing unit, a subset of the plurality of images. Each subset of images is sent at a sampling rate, and the sampling rate is less than the exposure determination rate.