There is provided an image sensor comprising: a pixel unit having a plurality of pixels; an A/D converter which converts an image signal from the pixel into a digital image signal; a gradation converter which performs a gradation conversion to the digital image signal; and a selector which selects gradation converting characteristics of the gradation conversion to the digital image signal performed by the gradation converter.

An event-based sensor includes a dummy pixel that generates a dark current, a current mirror that generates a mirrored current using the dark current, and a sensing pixel that generates a sense current based on an intensity of incident light, and outputs an activation signal, indicating whether a variation in the incident light is sensed, based on a light current that is obtained by subtracting the mirrored current from the sense current.

In dynamic vision sensor (DVS) or change detection sensors, the chip or sensor is configured to control or modulate the event rate. For example, this control can be used to keep the event rate close to a desired rate or within desired bounds. Adapting the configuration of the sensor to the scene by changing the ON-event and/or the OFF-event thresholds, allows having necessary amount of data, but not much more than necessary, such that the overall system gets as much information about its state as possible.

In an image sensor, some pixels in an array contain a sampling circuit to sample the light intensity and a capacitor to store an analog value representing the intensity at that pixel. Alternatively, a group of pixel circuits will be equipped with such sampling and capacitor circuits. This allows simple redundancy-reducing computations with a relatively simple pixel architecture.

A pixel array for use in a high dynamic range image sensor includes a plurality of pixels arranged in a plurality of rows and columns in the pixel array. Each one of the pixels includes a linear subpixel and a log subpixel disposed in a semiconductor material. The linear subpixel is coupled to generate a linear output signal having a linear response, and the log subpixel is coupled to generate a log output signal having a logarithmic response in response to the incident light. A bitline is coupled to the linear subpixel and to the log subpixel to receive the linear output signal and the log output signal. The bitline is one of a plurality of bitlines coupled to the plurality of pixels. Each one of the plurality of bitlines is coupled to a corresponding grouping of the plurality of pixels.

A dynamic vision sensor (DVS) or change detection sensor reacts to changes in light intensity and in this way monitors how a scene changes. This disclosure covers both single pixel and array architectures. The DVS may contain one pixel or 2-dimensional or 1-dimensional array of pixels. The change of intensities registered by pixels are compared, and pixel addresses where the change is positive or negative are recorded and processed. Analyzing frames based on just three values for pixels, increase, decrease or unchanged, the proposed DVS can process visual information much faster than traditional computer vision systems, which correlate multi-bit color or gray level pixel values between successive frames.

[Object] The present technique relates to an image pickup device, an image pickup method, and a program that enables pixels having 4 types of spectral sensitivities to be controlled while changing exposure times. [Solving Means] The present technique is applicable to an image pickup device including pixels having 4 types of spectral sensitivities, that include pixels having a panchromatic spectral sensitivity and are arranged on an image pickup surface, pixels that realize a first exposure and pixels that realize a second exposure different from the first exposure being arranged on the image pickup surface with respect to the 4 types of spectral sensitivities. Further, a first line in which first pixels having the panchromatic spectral sensitivity are arranged in a two-pixel cycle in a specific direction and a second line in which the first pixels are arranged while deviating by one pixel from the first line in the specific direction are arranged alternately in a direction orthogonal to the specific direction, and pixels having spectral sensitivities different from the spectral sensitivity of the first pixels are arranged in a 2- or 4-pixel cycle in the specific direction for each of the spectral sensitivities and 2-dimensionally constitute a cyclic arrangement of 44 pixels in which the first spectral sensitivity pixels are arranged in a checkerboard arrangement.

In an image sensor, some pixels in an array contain a sampling circuit to sample the light intensity and a capacitor to store an analog value representing the intensity at that pixel. Alternatively, a group of pixel circuits will be equipped with such sampling and capacitor circuits. This allows simple redundancy-reducing computations with a relatively simple pixel architecture.

The present application concerns an optical sensor that includes one or more charge transfer pixels (10) each including a buried photodiode (11) generating a photoelectric charge when illuminated, a conversion element (12) receiving at least a portion of the photoelectric charge and tending to impose, on the photodiode, a potential satisfying a non-linear relationship with the intensity of generation of the photoelectric charge, and a charge transfer element (14) for reading the charge stored by the photodiode (11) such that the residual charge in same is zero after the reading by transfer.

A dynamic vision sensor (DVS) or change detection sensor reacts to changes in light intensity and in this way monitors how a scene changes. This disclosure covers both single pixel and array architectures. The DVS may contain one pixel or 2-dimensional or 1-dimensional array of pixels. The change of intensities registered by pixels are compared, and pixel addresses where the change is positive or negative are recorded and processed. Analyzing frames based on just three values for pixels, increase, decrease or unchanged, the proposed DVS can process visual information much faster than traditional computer vision systems, which correlate multi-bit color or gray level pixel values between successive frames.