The present disclosure relates to systems and devices configured to determine the distance to objects within a field of view. Namely, at least a portion of the field of view may be illuminated with a coherent light source. Due to interactions between the laser light, the transmission medium, and the object, characteristic laser speckle patterns may be formed. These characteristic laser speckle patterns may be imaged with a camera. Using statistical image analysis, an estimated distance to the objects within the field of view may be obtained. For example, the image frame may be partitioned into a plurality of image segments. An autocorrelation for each image segment of the plurality of image segments may be obtained. A depth map may be obtained based on the autocorrelations.

Disclosed are a color filter array having a touch sensor and a display panel having the same. The color filter array may comprise: a plurality of color filters arranged in first and second directions on a substrate; a touch block electrode disposed on the color filters to sense a user touch position; a black matrix disposed on the touch block electrode between the color filters; and a touch-sensing line which is disposed in any one of the first and second directions and at least one of which is connected to the touch block electrode. Thereby, when the color filter array is applied to a bending-type or folding-type display device, generation of cracks in the touch sensing line is reduced or minimized.

A sensor control apparatus includes a readout control circuit and a region setting circuit. The readout control circuit controls an event-driven vision sensor including a sensor array that includes sensors that generate event signals when a change in incident light intensity is detected, in such a manner that the event signals are read out at a first frequency in a first region on the sensor array and that the event signals are read out at a second frequency higher than the first frequency in a second region on the sensor array. The region setting circuit changes at least part of the first region to the second region on the basis of the number of first event signals acquired by the readout in the first region within a given period of time or changes at least part of the second region to the first region on the basis of the number of second event signals acquired by the readout in the second region within the given period of time.

Example embodiments relate to microlensing for real-time sensing of stray light. An example device includes an image sensor that includes a plurality of light-sensitive pixels. The device also includes a first lens positioned over a first subset of light-sensitive pixels selected from the plurality of light-sensitive pixels. Further, the device includes a controller. The controller is configured to determine a first angle of incidence of a first light signal detected by the first subset of light-sensitive pixels. The controller is also configured to, based on the first determined angle of incidence, determine an amount of stray light incident on the image sensor.

Example embodiments relate to microlensing for real-time sensing of stray light. An example device includes an image sensor that includes a plurality of light-sensitive pixels. The device also includes a first lens positioned over a first subset of light-sensitive pixels selected from the plurality of light-sensitive pixels. Further, the device includes a controller. The controller is configured to determine a first angle of incidence of a first light signal detected by the first subset of light-sensitive pixels. The controller is also configured to, based on the first determined angle of incidence, determine an amount of stray light incident on the image sensor.

An image sensor may include adaptive filtering circuitry that is used to correct for row noise. In one example, the image sensor may include a single reference pixel or a column of reference pixels that are shielded from incident light. The adaptive filtering circuitry may estimate row noise based on data from the reference pixel(s). Row noise correction circuitry may then subtract the estimated row noise from imaging pixel outputs to correct for row noise. If the row noise is dominated by supply noise, the reference pixels may be omitted entirely and the adaptive filtering circuitry may estimate row noise based only on the power supply voltage. The adaptive filtering circuitry may undergo a training phase to optimize coefficients for the adaptive filtering circuitry.

An image sensor may include adaptive filtering circuitry that is used to correct for row noise. In one example, the image sensor may include a single reference pixel or a column of reference pixels that are shielded from incident light. The adaptive filtering circuitry may estimate row noise based on data from the reference pixel(s). Row noise correction circuitry may then subtract the estimated row noise from imaging pixel outputs to correct for row noise. If the row noise is dominated by supply noise, the reference pixels may be omitted entirely and the adaptive filtering circuitry may estimate row noise based only on the power supply voltage. The adaptive filtering circuitry may undergo a training phase to optimize coefficients for the adaptive filtering circuitry.

Devices, systems and methods are disclosed for discontinuously capturing and transmitting images from a camera. The camera initializes and powers down on-demand components, awaiting a signal on an interrupt pin. Upon receiving a signal on the interrupt pin, the camera powers up the on-demand components, captures a series of images and transmits the series of images. The discontinuous transmission of images allows the camera to reduce a power consumption and a memory usage while reducing a latency between a capture request and the transmission of images.

The present technology relates to an imaging element that can reduce noise. The imaging element includes: a photoelectric conversion element; a first amplification element that amplifies a signal from the photoelectric conversion element; a second amplification element that amplifies an output from the first amplification element; an offset element provided between the first amplification element and the second amplification element; a first reset element that resets the first amplification element; and a second reset element that resets the second amplification element. The offset element is a capacitor. A charge is accumulated in the offset element via a feedback loop of an output from the second amplification element, and an offset bias is generated. The present technology can be applied to an imaging element.

The infrared image processing device includes a thermal image sensor that receives infrared rays and outputs a signal corresponding to the infrared rays, a thermal image generation unit that generates a plurality of thermal images based on the signal, a smoothing processing unit that performs a smoothing process on each pixel of each of the plurality of thermal images by using a pixel value of a vicinal pixel, thereby calculating a plurality of smoothed images and calculating smoothed pixel values that are each image’s pixel values after undergoing the smoothing, a correction coefficient calculation unit that calculates a correction coefficient set including a first correction coefficient and a second correction coefficient from the thermal images and the smoothed images, and a thermal image correction unit that corrects the thermal images by using the correction coefficient set.