Bias circuit elements for applying voltages/currents to a photodetector are described. Bias circuit elements described are active devices, e.g. mosfets, directly connected to the photodetector signal point, which inject noise that will be amplified/integrated. Lowering 1/f noise in these bias devices uses multiple parallel mosfets and switching the parallel mosfets gates between a bias activation level signal and a voltage sufficient to drive the mosfet into accumulation Gate switching may be accomplished by at least two partially out of phase clocking signals, with at least one parallel mosfet applying bias while another is in accumulation in continuously switched time periods. Gate switching at a frequency higher than the imaging bandwidth, will have negligible effect on the image signal. During the accumulation phase traps present within the conducting channel of each MOSFET will be depopulated, essentially resetting the MOSFET's 1/f noise, allowing for long integration times while controlling 1/f noise.

An image sensor for sampling a pixel signal a plurality of times during a readout time includes an analog comparator configured to compare a signal level of the pixel signal with a signal level of a target ramp signal that is any one of a plurality of ramp signals, a counter configured to output counting data based on a comparison result of the analog comparator, and a digital comparing circuit configured to compare a binary value of a target reference code corresponding to the target ramp signal with a binary value of the counting data and determine whether to output a digital signal corresponding to the counting data to a data output circuit based on a result of the comparison between the binary value of the counting data and the binary value of the target reference code.

A photoelectric conversion apparatus includes a pixel which includes a photoelectric conversion element; a signal line connected with the pixel; a voltage-current conversion unit configured to convert a voltage signal of the signal line into current; and a conversion unit that includes an oversampling type analog-to-digital conversion circuit that converts the current outputted from the voltage-current conversion unit into digital signals. The voltage-current conversion unit converts the voltage signal of the signal line into the current without sampling and holding and outputs the converted current to the conversion unit.

Integrated-circuit imagers selectively multi-sample pixel array outputs according to luminance level indicated by an initial sample, avoiding the additional power/time required for multi-sampling in high-luminance, shot-noise-dominated conditions and, conversely, multi-sampling in readout-noise-dominated low-luminance conditions.

A photoelectric conversion device includes a plurality of pixels arranged to form a plurality of columns, a plurality of comparison circuits provided corresponding to the plurality of columns and including a first input node to which a pixel signal output from a pixel of a corresponding column is input and a second input node to which a reference signal is input, a plurality of buffer circuits provided between a reference signal line to which the reference signal is supplied and each of the second input nodes of the plurality of comparison circuits, and a first switch circuit configured to set a connection state between output nodes of the plurality of buffer circuits.

A noise filtering device, method, and chip for a dynamic vision sensor (DVS), and an event-driven vision device, and an electronic device are provided. In order to meet multi-dimensional requirements of a denoising solution such as power consumption, delay, storage resources, calculation resources, denoising effect, applicable range of noise types, and hardware implementation difficulty, in this disclosure, global space-domain and time-domain informations are simultaneously aggregated in a shift register, or latest time-domain informations are collected through a space domain, and finally, whether an event generated by a DVS is a noise event is judged on the basis of clustering of space-domain informations and the time-domain informations. While achieving excellent denoising performance, this disclosure has outstanding advantages in the aforementioned multiple dimensions because of advantages of parallel and simple calculation and no dependence on a DVS resolution, etc.

A noise filtering device, method, and chip for a dynamic vision sensor (DVS), and an event-driven vision device, and an electronic device are provided. In order to meet multi-dimensional requirements of a denoising solution such as power consumption, delay, storage resources, calculation resources, denoising effect, applicable range of noise types, and hardware implementation difficulty, in this disclosure, global space-domain and time-domain informations are simultaneously aggregated in a shift register, or latest time-domain informations are collected through a space domain, and finally, whether an event generated by a DVS is a noise event is judged on the basis of clustering of space-domain informations and the time-domain informations. While achieving excellent denoising performance, this disclosure has outstanding advantages in the aforementioned multiple dimensions because of advantages of parallel and simple calculation and no dependence on a DVS resolution, etc.

Disclosed is an image sensor including a pixel array including a plurality of pixels, each of the pixels including a first photodiode and a second photodiode, each of which outputs a first pixel signal based on a first conversion gain using the second photodiode in a first period, outputs a second pixel signal based on a second conversion gain using the second photodiode in a second period, outputs a third pixel signal based on the first conversion gain using the first photodiode in a third period, and outputs a fourth pixel signal based on the second conversion gain using the first photodiode in a fourth period, an ADC circuit that performs sampling on a reset signal and an image signal of each of the first to fourth pixel signal. A sampling count and the number of sampling bits are adjusted differently from each of the first to fourth period.

Bias circuit elements for applying voltages/currents to a photodetector are described. Bias circuit elements described are active devices, e.g. mosfets, directly connected to the photodetector signal point, which inject noise that will be amplified/integrated. Lowering 1/f noise in these bias devices uses multiple parallel mosfets and switching the parallel mosfets gates between a bias activation level signal and a voltage sufficient to drive the mosfet into accumulation Gate switching may be accomplished by at least two partially out of phase clocking signals, with at least one parallel mosfet applying bias while another is in accumulation in continuously switched time periods. Gate switching at a frequency higher than the imaging bandwidth, will have negligible effect on the image signal. During the accumulation phase traps present within the conducting channel of each MOSFET will be depopulated, essentially resetting the MOSFET's 1/f noise, allowing for long integration times while controlling 1/f noise.

Visibility of a license plate and color reproducibility of a vehicle body are improved in a monitoring camera.

A vehicle body area detection unit detects a vehicle body area of a vehicle from an image signal. A license plate area detection unit detects a license plate area of the vehicle from the image signal. A vehicle body area image processing unit performs processing of the image signal corresponding to the detected vehicle body area. A license plate area image processing unit performs processing different from the processing of the image signal corresponding to the vehicle body area on the image signal corresponding to the detected license plate area. A synthesis unit synthesizes the processed image signal corresponding to the vehicle body area and the processed image signal corresponding to the license plate area.