Abstract: An operation method of an image signal processing device includes receiving a raw pixel code from an external image sensor device including an image pixel, generating a non-linear pixel code by performing non-linear mapping on the raw pixel code, and outputting a downsized pixel code obtained by performing a masking operation on bit positions including a first bit position corresponding to a most significant bit of the non-linear pixel code and a second bit position corresponding to a least significant bit of the non-linear pixel code. An amplitude of the raw pixel code is linear to illuminance of a light incident onto the image pixel, an amplitude of the non-linear pixel code is non-linear to the amplitude of the raw pixel code, and the non-linear pixel code has a first code length, and the downsized pixel code has a second code length smaller than the first code length.

Abstract: An image sensor includes a CIS (CMOS image sensor) pixel, a DVS (dynamic vision sensor) pixel, and an image signal processor. The CIS pixel includes a photoelectric conversion device generating charges corresponding to an incident light and a readout circuit generating an output voltage corresponding to the generated charges. The DVS pixel detects a change in an intensity of the incident light based on the generated charges to output an event signal and does not include a separate photoelectric conversion device. The image signal processor allows the photoelectric conversion device to be connected to the readout circuit or the DVS pixel.

Abstract: An image adjustment apparatus includes a receiver which is configured to receive a first input image of an object which is time-synchronously captured and a second input image in which a motion event of the object is sensed time-asynchronously, and an adjuster which is configured to adjust the first input image and the second input image.

Abstract: An image adjustment apparatus includes a receiver which is configured to receive a first input image of an object which is time-synchronously captured and a second input image in which a motion event of the object is sensed time-asynchronously, and an adjuster which is configured to adjust the first input image and the second input image.

Abstract: An image adjustment apparatus includes a receiver which is configured to receive a first input image of an object which is time-synchronously captured and a second input image in which a motion event of the object is sensed time-asynchronously, and an adjuster which is configured to adjust the first input image and the second input image.

Abstract: An image sensor includes a CIS (CMOS image sensor) pixel, a DVS (dynamic vision sensor) pixel, and an image signal processor. The CIS pixel includes a photoelectric conversion device generating charges corresponding to an incident light and a readout circuit generating an output voltage corresponding to the generated charges. The DVS pixel detects a change in an intensity of the incident light based on the generated charges to output an event signal and does not include a separate photoelectric conversion device. The image signal processor allows the photoelectric conversion device to be connected to the readout circuit or the DVS pixel.

Abstract: An image adjustment apparatus includes a receiver which is configured to receive a first input image of an object which is time-synchronously captured and a second input image in which a motion event of the object is sensed time-asynchronously, and an adjuster which is configured to adjust the first input image and the second input image.

Abstract: An image processing device includes a vision sensor and a processor. The vision sensor generates a plurality of events in which an intensity of light changes and generates a plurality of timestamps depending on times when the events occur. In addition, the processor may regenerate a timestamp of a pixel where an abnormal event occurs, based on temporal correlation of the events.

Abstract: An image sensor includes a CIS (CMOS image sensor) pixel, a DVS (dynamic vision sensor) pixel, and an image signal processor. The CIS pixel includes a photoelectric conversion device generating charges corresponding to an incident light and a readout circuit generating an output voltage corresponding to the generated charges. The DVS pixel detects a change in an intensity of the incident light based on the generated charges to output an event signal and does not include a separate photoelectric conversion device. The image signal processor allows the photoelectric conversion device to be connected to the readout circuit or the DVS pixel.

Abstract: Disclosed is an image adjustment apparatus including a receiver which is configured to receive a first input image of an object which is time-synchronously captured and a second input image in which a motion event of the object is sensed time-asynchronously, and an adjuster which is configured to adjust the first input image and the second input image.

Abstract: An image processing device includes a vision sensor and a processor. The vision sensor generates a plurality of events in which an intensity of light changes and generates a plurality of timestamps depending on times when the events occur. In addition, the processor may regenerate a timestamp of a pixel where an abnormal event occurs, based on temporal correlation of the events.

Abstract: Disclosed is an image adjustment apparatus including a receiver which is configured to receive a first input image of an object which is time-synchronously captured and a second input image in which a motion event of the object is sensed time-asynchronously, and an adjuster which is configured to adjust the first input image and the second input image.

Abstract: Disclosed is an image adjustment apparatus including a receiver which is configured to receive a first input image of an object which is time-synchronously captured and a second input image in which a motion event of the object is sensed time-asynchronously, and an adjuster which is configured to adjust the first input image and the second input image.

Abstract: An image sensor includes a CIS (CMOS image sensor) pixel, a DVS (dynamic vision sensor) pixel, and an image signal processor. The CIS pixel includes a photoelectric conversion device generating charges corresponding to an incident light and a readout circuit generating an output voltage corresponding to the generated charges. The DVS pixel detects a change in an intensity of the incident light based on the generated charges to output an event signal and does not include a separate photoelectric conversion device. The image signal processor allows the photoelectric conversion device to be connected to the readout circuit or the DVS pixel.

Abstract: An image processing device includes a vision sensor and a processor. The vision sensor generates a plurality of events in which an intensity of light changes and generates a plurality of timestamps depending on times when the events occur. In addition, the processor may regenerate a timestamp of a pixel where an abnormal event occurs, based on temporal correlation of the events.

Abstract: An image sensor includes a CIS (CMOS image sensor) pixel, a DVS (dynamic vision sensor) pixel, and an image signal processor. The CIS pixel includes a photoelectric conversion device generating charges corresponding to an incident light and a readout circuit generating an output voltage corresponding to the generated charges. The DVS pixel detects a change in an intensity of the incident light based on the generated charges to output an event signal and does not include a separate photoelectric conversion device. The image signal processor allows the photoelectric conversion device to be connected to the readout circuit or the DVS pixel.

Abstract: A method and device for recognizing a motion of an object, the method including receiving event signals from a vision sensor configured to sense the motion, storing, in an event map, first time information indicating a time at which intensity of light corresponding to the event signals changes; generating an image based on second time information corresponding to a predetermined time range among the first time information, and recognizing the motion of the object based on the image.

Abstract: An event detecting device may include an event signal generator configured to output a plurality of event signals, each including a first data and a second data having mutually complementary attributes and respective address data indicating positions of pixels having output the first data and the second data, a data manager configured to store one of the first data and the second data of a first one of the plurality of event signals and the respective address data in a buffer as first sub data when only one of the first data and the second data of the first one of the plurality of event signals includes the event information, and an output signal generator configured to generate an output signal using the first sub data and a second sub data when the second sub data, different from the first sub data, is stored in the buffer.

Abstract: An event detecting device may include an event signal generator configured to output a plurality of event signals, each including a first data and a second data having mutually complementary attributes and respective address data indicating positions of pixels having output the first data and the second data, a data manager configured to store one of the first data and the second data of a first one of the plurality of event signals and the respective address data in a buffer as first sub data when only one of the first data and the second data of the first one of the plurality of event signals includes the event information, and an output signal generator configured to generate an output signal using the first sub data and a second sub data when the second sub data, different from the first sub data, is stored in the buffer.

Abstract: A method of extracting a static pattern from an output of an event-based sensor. The method may include receiving an event signal from the event-based sensor in response to dynamic input, and extracting a static pattern associated with the dynamic input based on an identifier and time included in the event signal. The static pattern may be extracted from a map generated based on the identifier and time.