A selection pixel where signal readout is performed and a reference pixel where signal readout is not performed are arranged in a pixel array section, and an amplification transistor of the selection pixel and an amplification transistor of the reference pixel each source electrode of which is connected in common to a common wire are connected with a constant current source via the common wire to form a differential amplification circuit. Then, a bypass control section which selectively establishes connection between the constant current source and a differential output node of the differential amplification circuit and limits a voltage of the differential output node to a predetermined voltage by causing a bypass current to flow between the constant current source and the differential output node, and a current path for bypass current that supplies the bypass current to the constant current source through the pixel array section are included.

Disclosed is a device for noise reduction using dual conversion gain, which includes an image sensor including a pixel array, the pixel array configured to generate a first pixel signal corresponding to a first conversion gain and a second pixel signal corresponding to a second conversion gain from pixels sharing a floating diffusion region and the image sensor configured to generate first image data and second image data based on the first pixel signal and the second pixel signal, and an image signal processor that generates an output image based on the first image data and the second image data. The image signal processor includes a normalization circuit that normalizes the first image data based on a dynamic range of the second image data to generate third image data, and a blending circuit that generates the output image based on the second image data and the third image data.

An image sensor for distance measurement and an image sensor module including the image sensor are provided. The image sensor includes: a pixel array including a plurality of pixels including a plurality of first pixels arranged on a first line and a plurality of second pixels arranged on a second line, wherein the plurality of first pixels and the plurality of second pixels are arranged to be staggered from each other, and each of the plurality of first pixels and the plurality of second pixels includes a plurality of modulation gates for receiving a plurality of modulated signals during a photocharge collection period; a row decoder that provides control signals and the plurality of modulated signals to the pixel array; and an analog-to-digital conversion circuit that receives a plurality of sensing signals from the pixel array and converts the plurality of sensing signals into a plurality of digital signals.

Disclosed is an image sensing device including a current supply circuit coupled between a supply terminal of a first voltage and a pair of output terminals, an input circuit coupled between the pair of output terminals and a common node, and suitable for receiving a pixel signal and a ramp signal, and a mirroring circuit coupled between the common node and a supply terminal of a second voltage, and suitable for compensating for an operating current, which flows between the common node and the supply terminal of the second voltage, based on a reference current when generating the operating current by mirroring the reference current.

A unit pixel circuit includes a first photodiode, a second photodiode different from the first photodiode, a first floating diffusion node in which charges generated in the first photodiode are accumulated, a second floating diffusion node in which charges generated in the second photodiode are accumulated, a capacitor connected to the first floating diffusion node and a first voltage node, and accumulating overflowed charges of the first photodiode, a first switch transistor connecting the first floating diffusion node to a third floating diffusion node, a reset transistor connecting the third floating diffusion node to a second voltage node, a gain control transistor connecting the second floating diffusion node to the third floating diffusion node, and a second switch transistor connected to the first voltage node and the second voltage node.

A pixel readout circuit and a technique for imaging are disclosed. The circuit includes: an array of pixel integration circuits, each adapted for receiving an electric signal indicative of photocurrent of light sensitive pixel of a pixel matrix, integrate the electric signal over a frame period, and output the integrated signal at an imaging frame rate being one over the period; and an array of pixel derivation circuits, each includes a signal preprocessing channel for receiving a total electric signal indicative of at least a component of the photocurrent(s) of a cluster of respective light sensitive pixel(s); and a comparison unit adapted to analyze the total electric signal to determine digital data indicative of a change in the total electric signal relative to one or more thresholds; and a digital output utility adapted to readout of the digital data at a second rate different than the frame rate.

An object recognition system of the disclosure includes: a light source emitting dot light having a predetermined pattern to an object; an event detection sensor receiving the dot light having the predetermined pattern reflected by the object and detecting the fact that a change in luminance of a pixel has exceeded a predetermined threshold as an event; and a signal processor removing information other than event information originated from the dot light emitted from the light source and having the predetermined pattern among event information detected by the event detection sensor.

An image signal processor and an image sensor including the same are disclosed. An image sensor includes a pixel array configured to convert received optical signals into electrical signals, a readout circuit configured to convert the electrical signals into image data and output the image data, and an image signal processor configured to perform deep learning-based image processing on the image data based on training data selected from among first training data and second training data based on a noise level of the image data.

The present embodiment relates to a dual lens drive device that comprises: a housing; a first bobbin which is disposed to move in a first direction inside the housing; a second bobbin which is disposed to move in the first direction inside housing and is spaced apart from the first bobbin; a first coil which is disposed on the first bobbin; a second coil which is disposed on the second bobbin; a magnet which is disposed in the housing and faces the first coil and the second coil; a base which is disposed below the housing; a substrate which comprises a circuit member having a third coil disposed to face the magnet between the housing and the base; and a support member which movably supports the housing with respect to the substrate, wherein the housing is integrally formed.

Improvement of noise characteristics is achievable. A solid-state imaging device according to an embodiment includes a plurality of photoelectric conversion elements (333) arranged in a two-dimensional grid shape in a matrix direction and each generating a charge corresponding to a received light amount, and a detection unit (400) that detects a photocurrent produced by the charge generated in each of the plurality of photoelectric conversion elements. A chip (201a) on which the photoelectric conversion elements are disposed and a chip (201b) on which at least a part of the detection unit is disposed are different from each other.