A system includes an image sensor having a plurality of pixels that form a plurality of regions of interest (ROIs), and configured to operate at a frame rate higher than a threshold rate. The system also includes an image processing resource. The system further includes control circuitry configured to perform operations that include obtaining, from the image sensor, a full-resolution image of an environment. The full-resolution image contains each respective ROI of the plurality of ROIs. The operations also include selecting a particular ROI based on the full-resolution image, and detecting an object of interest in the particular ROI. The operations include determining a mode of operation by which subsequent image data generated by the particular ROI is to be processed. The operations further include processing, based on the mode of operation and the frame rate, the image data comprising a plurality of ROI images of the object of interest.

A system includes an image sensor having a plurality of pixels that form a plurality of regions of interest (ROIs), and configured to operate at a frame rate higher than a threshold rate. The system also includes an image processing resource. The system further includes control circuitry configured to perform operations that include obtaining, from the image sensor, a full-resolution image of an environment. The full-resolution image contains each respective ROI of the plurality of ROIs. The operations also include selecting a particular ROI based on the full-resolution image, and detecting an object of interest in the particular ROI. The operations include determining a mode of operation by which subsequent image data generated by the particular ROI is to be processed. The operations further include processing, based on the mode of operation and the frame rate, the image data comprising a plurality of ROI images of the object of interest.

The present technology relates to an information processing device, an information processing method, and a program for achieving improvement of detection accuracy of object detection using an inference model. At least either a parameter associated with imaging or a parameter associated with signal processing for an input image obtained by the imaging is changed according to a type of an object detected from the input image by an inference model that uses a neural network.

A camera for detecting an object in a detection zone is provided that has an image sensor having a plurality of light reception elements for the generation of image data from received light from the detection zone), a reception optics having a focus adjustment unit for setting a focal position, with an angle of incidence of the received light on the image sensor changing on a change of the focal position, and a control and evaluation unit that is configured to set the focal position for a sharp recording of image data of the object, A sensitivity change of the capturing of the image data caused by the respective angle of incidence of the received light is compensated.

Devices, methods, and program storage devices for creating and/or displaying backwards-compatible High Dynamic Range (HDR) images are disclosed, comprising: obtaining two or more exposures of a scene; creating a gain map based on at least one of the two or more exposures, wherein the gain map comprises a plurality of pixels each corresponding to a portion of the scene, and wherein values of the pixels in the gain map comprise indications of a brightness level of the corresponding portions of the scene; combining the two or more exposures to form a first image; tone mapping the first image based on a Standard Dynamic Range (SDR) format to generate a first SDR image of the scene; and storing the first SDR image and created gain map in a first enhanced image file. The first enhanced image file may be, e.g., a HEIF, HEIC, PNG, GIF, JPEG, or other suitable file format.

A depth estimation system can enhance depth estimation using brightness image. Light is projected onto an object. The object reflects at least a portion of the projected light. The reflected light is at least partially captured by an image sensor, which generates image data. The depth estimation system may use the image data to generate both a depth image and a brightness image. The image sensor includes a plurality of pixels, each of which is associated with two ADCs. The ADCs receive different analog signals from the pixel and outputs different digital signals. The depth estimation system may use the different digital signals to determine the brightness value of a brightness pixel of the brightness image. The ADCs may be associated with one or more other pixels. The pixel and the one or more other pixels may be arranged in a same column in an array of the image sensor.

A depth estimation system can use a guided filter to enhance depth estimation using brightness image. Light is projected onto an object. The object reflects at least a portion of the projected light. The reflected light is at least partially captured by an image sensor. The depth estimation system may generate a depth image based on a phase shift between the captured light and the projected light and generate a brightness image based on brightness of the captured light. The depth estimation system may use the guided filter to identify a pixel that represents at least a portion of a boundary of the object. The guided filter can determine a depth value of the pixel based on the value of the corresponding pixel in the brightness image. The depth estimation system can assign the depth value to the pixel and generates an enhanced depth image.

Provided is a signal processing device including a communication unit which receives packets transmitted from an event-driven vision sensor including a sensor array including sensors generating event signals when a change in intensity of incident light is detected, a buffer memory in which the packets are temporarily stored, and a readout control unit which forcibly reads out the packets from the buffer memory in a case in which predetermined conditions are satisfied.

The present disclosure relates to an imaging device, a solid-state imaging element, a camera module, a drive control unit, and an imaging method for enabling reliable correction of an influence of a motion on an image. A state determination unit determines a state of a motion of an imaging unit that performs imaging to acquire an image via an optical system that collects light, and an exposure control unit performs at least control for an exposure time of the imaging unit according to a determination result by the state determination unit. Then, relative driving for the optical system or the imaging unit is performed to optically correct a blur appearing in the image according to an exposure period of one frame by the exposure time, and driving for resetting a relative positional relationship between the optical system and the imaging unit, the relative positional relationship being caused during the exposure period, is performed according to a non-exposure period in which exposure is not performed between the frames. The present technology can be applied to, for example, a stacked CMOS image sensor.

A content processing system for modifying the brightness of one or more image frames of content, the system comprising a content analysis unit operable to identify brightness information for each of two or more image frames within the content, a variation detection unit operable to detect a variation in the brightness of at least two image frames within the content, and a brightness modification unit operable to modify the brightness of one or more image frames in dependence upon the detected brightness variation so as to reduce the variation in brightness between frames of the content.