A method with image processing includes: receiving an input image including Bayer images captured by a plurality of lenses included in a lens assembly; generating channel separation images by separating each of the Bayer images by a plurality of channels; determining corresponding points such that pixels in the channel separation images are displayed at the same position on a projection plane, for each of the plurality of lenses; performing binning on the channel separation images, based on a brightness difference and a distance difference between a target corresponding point and a center of a pixel including the target corresponding point, corresponding to each of the corresponding points in channel separation images that correspond to a same channel and that are combined into one image, for each of the plurality of lenses; restoring the input image for each of the plurality of lenses based on binned images generated by performing the binning; and outputting the restored input image.

An information processing apparatus including a specification section specifying, from among a plurality of blocks that are set by dividing pixels included in at least a partial region of a pixel region having a plurality of pixels arrayed therein and each of which includes at least one or more of the pixels, at least one or more of the blocks, and a generation section generating a unique value based on pixel values of the pixels included in the specified blocks.

A solid-state imaging device includes an imager configured to acquire image data, a processing unit configured to perform a process based on a neural network calculation model for data based on the image data acquired from the imager, and a control unit configured to switch between a first process mode of performing a first process at a first frame rate and, based on a result of the first process, a second process mode of performing a second process at a second frame rate.

A solid-state imaging device includes an imager configured to acquire image data, a processing unit configured to perform a process based on a neural network calculation model for data based on the image data acquired from the imager, and a control unit configured to switch between a first process mode of performing a first process at a first frame rate and, based on a result of the first process, a second process mode of performing a second process at a second frame rate.

An image sensing system includes a pixel array, an analog-to-digital converter circuit, and an average calculator. The analog-to-digital converter circuit converts a first pixel signal to first pixel data and converts a second pixel signal to second pixel data. The average calculator generates a first average bit based on a first bit of the first pixel data and a first bit of the second pixel data during a first time and generates a second average bit based on a second bit of the first pixel data and a second bit of the second pixel data during a second time.

An image sensor including: a pixel array disposed under a display panel, the pixel array including a plurality of pixels configured to perform a sensing operation by collecting a photo-charge generated by a light that penetrates the display panel; a row driver configured to drive the plurality of pixels row by row; and a controller configured to control the pixel array and the row driver such that a sensing sensitivity of blue pixels among the plurality of pixels is higher than a sensing sensitivity of red pixels and a sensing sensitivity of green pixels among the plurality of pixels.

The invention relates to a photoplethysmography (PPG) sensing device comprising—a pulsed light source, —at least one pixel to create photo-generated electrons, synchronized with said pulsed light source. It is mainly characterized in that each pixel comprises: —a pinned photodiode (PPD) having two electronic connection nodes, —a sense node (SN), to convert the photo-generated electrons into a voltage, and—a Transfer Gate (TGtransfer) transistor, having its source electronically connected to one electronic connection node of said pinned photodiode (PPD), and being configured to act as a transfer gate (TG) between said pinned photodiode (PPD) and said sense node (SN), allowing the photo-generated electrons to sink when the light is pulsed-off, the photo-generated electrons integration when the light is pulsed-on and the transfer of at least part of the integrated photo-generated electrons to said sense node for a read-out.

This disclosure provides systems, methods, and devices for wireless communication that support image signal processor to support reduced latency mode switching. In a first aspect, a method of image processing includes switching between different binning configurations to change an output of data from an image sensor. The binning configurations may include a first binning configuration to support object tracking and/or other artificial intelligence (AI) or computer vision (CV) applications and a second binning configuration to support photography or other still image capture applications. Other aspects and features are also claimed and described.

An image sensor includes a pixel including a first floating diffusion and a second floating diffusion, generating a first pixel signal based on a quantity of charge of the first floating diffusion, and generating a second pixel signal based on the quantity of charge of the first floating diffusion and a quantity of charge of the second floating diffusion; a column line connected to the pixel and transmitting the first pixel signal or the second pixel signal; and a readout circuit connected to the column line and generating an image signal based on a plurality of comparison results including a first comparison result obtained by comparing the first pixel signal with a first reference signal, a second comparison result obtained by comparing the second pixel signal with a first reference signal, and a third comparison result obtained by comparing the second pixel signal with a second reference signal.

This disclosure provides systems, methods, and devices for image signal processing that support improved detail keeping in photography through increased dynamic range and/or highlight-keeping. The image signal processing may be performed on data received from a split-pixel image sensor with two sets of sensor elements with different sensitivities. The image signal processing may include receiving image data comprising: first data from a first set of sensor elements and second data from a second set of sensor elements capturing a representation of the scene with a different sensitivity that the first set of sensor elements; determining an output dynamic range for an output image frame; and determining an output image frame based on at least one of the first data and the second data and based on the output dynamic range. Other aspects and features are also claimed and described.