A method of controlling parameters for image sensors includes; receiving a first image and a second image, calculating first feature values related to the first image and second feature values related to the second image; generating comparison results by comparing the first feature values of fixed regions and first variable regions of the first image with the second feature values of fixed regions and first variable regions of the second image, and controlling at least one parameter on the basis of the comparison results.

A photoelectric conversion device of the present disclosure includes: a scanning unit; a first storage unit that stores a first setting value representing a setting of a first scan in response to an input from the outside; and a second storage unit that stores a second setting value representing a setting of a second scan in response to an input from the outside, wherein the scanning unit performs the first scan based on the first setting value and the second scan based on the second setting value in one frame period, and wherein both storing of the first setting value in the first storage unit and storing of the second setting value by the second storage unit are performed prior to a start of the first scan and a start of the second scan.

Disclosed are improved methods, systems and devices for color night vision that reduce the number of intensifiers and/or decrease noise. In some embodiments, color night vision is provided in system in which multiple spectral bands are maintained, filtered separately, and then recombined in a unique three-lens-filtering setup. An illustrative four-camera night vision system is unique in that its first three cameras separately filter different bands using a subtractive Cyan, Magenta and Yellow (CMY) color filtering-process, while its fourth camera is used to sense either additional IR illuminators or a luminance channel to increase brightness. In some embodiments, the color night vision is implemented to distinguish details of an image in low light. The unique application of the three-lens subtractive CMY filtering allows for better photon scavenging and preservation of important color information.

An image sensor includes a pixel array that includes a first pixel group located in a first row and including a first select transistor and a first floating diffusion region, a second pixel group located in a second row and including a second select transistor and a second floating diffusion region, and a column line connected to both the first pixel group and the second pixel group. While charges generated by a photoelectric conversion element of the first pixel group are transferred to the first floating diffusion region, the first select transistor is turned off, the second select transistor is turned on, and a first voltage is applied to the column line through the second select transistor. A photoelectric conversion element of the second pixel group generates charges prior to the photoelectric conversion element of the first pixel group, so as to be transferred to the second floating diffusion region.

In an imaging device, a first digital signal corresponding to a first analog signal read out from a pixel, and a second digital signal corresponding to the amount of charge accumulated during a first exposure period following a period for reading the first analog signal. A difference is acquired between a first difference and a second difference wherein the first difference is a difference between a third digital signal and the second digital signal, the third digital signal is a digital signal corresponding to the amount of charge cumulatively accumulated during the first exposure period and a following second exposure period, and the second difference is a difference between the second digital signal and the first digital signal. At least one of the first exposure period or the second exposure period includes a period during which the first light source is in the on-state.

An image sensor supporting a full resolution mode and a crop mode, the image sensor including: a pixel array including a plurality of pixels configured to generate a pixel signal by sensing an object; an analog-to-digital converter configured to convert the pixel signal into a digital signal and including a plurality of metal lines; a bias generator configured to apply a bias voltage to the plurality of metal lines; and a bias controller including: a first transistor configured to activate all of the plurality of metal lines based on a first control signal; and a second transistor configured to activate a first metal line for the crop mode among the plurality of metal lines based on a second control signal.

A pixel arrangement comprises a photodiode, a circuit node, a transfer transistor coupled to the photodiode and to the circuit node, an amplifier with an input coupled to the circuit node, a first and a second capacitor, a first transistor coupled to an output of the amplifier and to the first capacitor, a second transistor coupled to the first transistor and to the second capacitor, and a coupling transistor coupled to the circuit node and to the second capacitor.

Conventional SRAM sense-amplifiers are replaced by small-footprint keeper circuits that enable single-ended SRAM readout without bitline precharge, simplifying and relaxing the timing of SRAM cell access and bitline sampling operations and thus enabling potentially faster readout operation and/or lower bit error rate.

Methods and systems for digitally reconstructing a patient tissue sample are described herein. In one embodiment, the method may include projecting a first structured light pattern onto the patient tissue sample, receiving a first reflection of the first structured light pattern from the patient tissue sample, and reconstructing the patient tissue sample based on the first reflection and the projected first structured light pattern. In another embodiment, the system may include a projector adapted or configured to project the first structured light onto the patient tissue sample, a charge-coupled device (CCD) adapted or configured to receive the first reflection from the patient tissue sample, and a reconstruction device adapted or configured to reconstruct the patient tissue sample based on the first reflection and the projected first structured light pattern.

Exemplary optical scanner apparatus, method and computer-accessible medium for obtaining information regarding the sample can be provided. In certain exemplary embodiments of the present disclosure, the optical scanner, method and computer-accessible medium can utilize a container configured to hold the sample which is provided in a fluid. A light source can be provided which is configured to emit a light radiation to the container and the sample. Further, with an optic taper, it is possible to receive, taper and combine substantially parallel beams of an output radiation exiting the sample. The output radiation can be provided in response to an irradiation of the sample by the light radiation. Further, using a light detector, it is possible to receive and detect the combined tapered parallel beams so as to obtain the information regarding the sample.