H04N25/772

Image processing device
11711636 · 2023-07-25 · ·

An image processing device is disclosed. The image processing device includes at least one first pixel having a first sensitivity, a second pixel having a second sensitivity different from the first sensitivity, a processor, and a synthesizer. The processor calculates a sampling position of the at least one first pixel and a sampling position of the second pixel, determines a reference position and adjusts the sampling position of the at least one first pixel or the second pixel based on the reference position.

Image processing device
11711636 · 2023-07-25 · ·

An image processing device is disclosed. The image processing device includes at least one first pixel having a first sensitivity, a second pixel having a second sensitivity different from the first sensitivity, a processor, and a synthesizer. The processor calculates a sampling position of the at least one first pixel and a sampling position of the second pixel, determines a reference position and adjusts the sampling position of the at least one first pixel or the second pixel based on the reference position.

Solid-state imaging device

A solid-state imaging device includes: a plurality of pixel cells arranged in a matrix. In the solid-state imaging device, each of the plurality of pixel cells includes: a photoelectric converter that generates charge by photoelectric conversion, and holds a potential according to an amount of the charge generated; an initializer that initializes the potential of the photoelectric converter; a comparison section that compares the potential of the photoelectric converter and a predetermined reference signal, and causes the initializer to perform initialization when the potential of the photoelectric converter and the predetermined reference signal match; and a counter that counts a total number of times of initialization performed by the initializer, and outputs a signal corresponding to the total number of times as a first signal indicating an intensity of incident light.

Solid-state imaging device

A solid-state imaging device includes: a plurality of pixel cells arranged in a matrix. In the solid-state imaging device, each of the plurality of pixel cells includes: a photoelectric converter that generates charge by photoelectric conversion, and holds a potential according to an amount of the charge generated; an initializer that initializes the potential of the photoelectric converter; a comparison section that compares the potential of the photoelectric converter and a predetermined reference signal, and causes the initializer to perform initialization when the potential of the photoelectric converter and the predetermined reference signal match; and a counter that counts a total number of times of initialization performed by the initializer, and outputs a signal corresponding to the total number of times as a first signal indicating an intensity of incident light.

Dynamic vision sensor architecture

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.

Dynamic vision sensor architecture

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.

SOLID STATE IMAGE SENSOR AND ELECTRONIC EQUIPMENT
20230239589 · 2023-07-27 ·

The present disclosure relates to a solid state image sensor and electronic equipment that enable degradation in image quality of a captured image to be suppressed even if any pixel in a pixel array is configured as a functional pixel for obtaining desired information in order to obtain information different from a normal image. In a plurality of pixels constituting subblocks provided in an RGB Bayer array constituting a block which is a set of color units, normal pixels that capture a normal image are arranged longitudinally and laterally symmetrically within the subblock, and functional pixels for obtaining desired information other than capturing an image are arranged at the remaining positions. The present disclosure can be applied to a solid state image sensor.

SOLID STATE IMAGE SENSOR AND ELECTRONIC EQUIPMENT
20230239589 · 2023-07-27 ·

The present disclosure relates to a solid state image sensor and electronic equipment that enable degradation in image quality of a captured image to be suppressed even if any pixel in a pixel array is configured as a functional pixel for obtaining desired information in order to obtain information different from a normal image. In a plurality of pixels constituting subblocks provided in an RGB Bayer array constituting a block which is a set of color units, normal pixels that capture a normal image are arranged longitudinally and laterally symmetrically within the subblock, and functional pixels for obtaining desired information other than capturing an image are arranged at the remaining positions. The present disclosure can be applied to a solid state image sensor.

IMAGING DEVICE
20230239460 · 2023-07-27 ·

In one example, an imaging device including a plurality of pixel circuits, a first control line, a second control line, a first voltage supply line, a second voltage supply line, a first light-receiving element, and a diagnosis unit is disclosed. The pixel circuits each include a first terminal, a second terminal, a third terminal, an accumulation unit, a first transistor, a second transistor, and an output unit. The first transistor is couples the third terminal to the accumulation unit on the basis of a voltage of the first terminal. The second transistor supplies a predetermined voltage to the accumulation unit on the basis of a voltage of the second terminal. The output unit outputs a signal corresponding to a voltage in the accumulation unit.

IMAGING DEVICE
20230239460 · 2023-07-27 ·

In one example, an imaging device including a plurality of pixel circuits, a first control line, a second control line, a first voltage supply line, a second voltage supply line, a first light-receiving element, and a diagnosis unit is disclosed. The pixel circuits each include a first terminal, a second terminal, a third terminal, an accumulation unit, a first transistor, a second transistor, and an output unit. The first transistor is couples the third terminal to the accumulation unit on the basis of a voltage of the first terminal. The second transistor supplies a predetermined voltage to the accumulation unit on the basis of a voltage of the second terminal. The output unit outputs a signal corresponding to a voltage in the accumulation unit.