13 results about "Automatic exposure control" patented technology

This invention provides a scene-adaptive fast automatic exposure adjustment method, comprising: S1. Acquiring a frame image and the exposure parameters of the previous frame, denoted as E_pre; S2. Calculating the average brightness Y_cur, the proportion of overexposed pixels P_sat, and the proportion of underexposed pixels P_dark of the current frame image using the current frame image; S3. Calculating the slope between the target brightness and the average brightness of the current frame, denoted as k1: k1=Y_target / Y_cur; S4. Determining whether the current brightness meets the expectation. If k1_th_dark≤k1≤k1_th_sat, where k1_th_dark is the lower limit of the k1 tolerance threshold and k1_th_sat is the upper limit of the k1 tolerance threshold, the exposure parameters remain unchanged, and the next loop is performed, returning to step S1; otherwise, if the expectation is not met, the exposure parameters are updated and the process proceeds to step S5; S5. Selecting the corresponding convergence parameters; S6. Calculating and acquiring the exposure parameters, and updating the exposure parameters. This method can quickly achieve automatic exposure control in bright, dark, or scenes with drastic brightness changes, allowing the image to converge to a reasonable brightness quickly.

This invention discloses an automatic exposure control method suitable for X-ray machines, comprising the following steps: receiving a pulse signal and converting it into a square wave voltage signal; converting the square wave voltage signal into a current signal; and charging a capacitor according to the current signal to obtain a ramp voltage for exposure. According to some preferred embodiments of the invention, the pulse signal is a dose signal fed back from the ionization chamber of the automatic exposure control system. This automatic exposure control method for X-ray machines can be implemented based on basic components such as resistors, capacitors, diodes, and operational amplifiers. It requires simple components, has significant cost advantages, and is a purely analog circuit with fast response speed, low delay, and low power consumption.

The application provides an image sensor and an automatic exposure control method, wherein the image sensor comprises a pixel array, and the pixel array comprises a plurality of pixel blocks arranged in an array; each pixel block comprises a plurality of image acquisition pixel units and at least one exposure adjustment pixel unit; the image acquisition pixel units perform an exposure readout operation based on a first parameter obtained based on a first control; the exposure adjustment pixel unit performs an exposure readout operation based on a second parameter obtained based on a second control; and the first parameter corresponding to the image acquisition pixel units and the second parameter corresponding to the exposure adjustment pixel unit are obtained based on a single frame. The application solves the problem of slow response speed in the prior art.

A controller outputs multiple different predetermined exposure control parameters to an image sensor during a first period after a device is powered on, such that the image sensor generates multiple sets of first frame data according to the predetermined exposure control parameters. An image processor generates multiple sets of statistical data based on the first frame data. A processor determines a first exposure control parameter according to the statistical data and outputs the first exposure control parameter to the image sensor via the controller, such that the image sensor generates second frame data according to the first exposure control parameter during a second period. A frame rate of each set of the first frame data is higher than that of the second frame data, and a resolution of each set of the first frame data is lower than that of the second frame data.

The present invention provides a method, apparatus, and system for controlling the exposure of digital images. [Solution] More specifically, this embodiment relates to region of interest (ROI)-based dynamic automatic exposure control. In some embodiments, the imaging system includes capturing a first image in a series of images using a first exposure setting, detecting one or more regions of interest (ROIs) in the first image, determining a first brightness value for the first ROI in the first image, determining a second exposure setting based on the first brightness value, and capturing a second image following the first image in a series of images using a second exposure setting.

The present disclosure provides methods, apparatuses, and systems for exposure control of digital images. The present implementations more specifically relate to dynamic region of interest (ROI) based automatic exposure control. In some implementations, an imaging system can capture a first image in a series of images using a first exposure setting. The imaging system can detect one or more regions of interest (ROIs) in the first image. The imaging system can determine a first brightness value associated with a first ROI in the first image. The imaging system can determine a second exposure setting based on the first brightness value. The imaging system can capture a second image in the series of images immediately following the first image using the second exposure setting.

This disclosure provides methods, devices, and systems for exposure control for digital images. The present implementations more specifically relate to dynamic region-of-interest (ROI) based auto-exposure control. In some implementations, an imaging system may a first image in a series of images using a first exposure setting. The imaging system may detect one or more regions of interest (ROI) in the first image. The imaging system may determine a first brightness value associated with a first ROI in the first image. The imaging system may determine a second exposure setting based on the first brightness value. The imaging system may capture a second image in the series of images, subsequent to the first image, using the second exposure setting.

The utility model provides a kind of image sensor, including pixel array, and pixel array includes several pixel blocks arranged in array again;Pixel block includes several image acquisition pixel units and at least one exposure adjustment pixel unit, image acquisition pixel unit is based on first control and obtains first parameter and carries out exposure readout operation, exposure adjustment pixel unit is based on second control and obtains second parameter and carries out exposure readout operation, wherein, based on the pixel information under the first parameter of single frame acquisition image acquisition pixel unit corresponding and the pixel information under the second parameter of exposure adjustment pixel unit corresponding is acquired.The utility model solves the problem that the existing automatic exposure control scheme exists slower response speed.

The application provides a short-wave infrared camera fast automatic exposure method and system based on FPGA, relates to the fields of photoelectric imaging and high-speed data flow processing technology, and the automatic exposure method is constructed in strict synchronization with pixel data flow in the FPGA, multi-dimensional brightness statistics and feature extraction are completed in parallel in a single frame period, including global average gray, median gray, brightness distribution entropy and the like, the overall weighted fusion of the multiple statistics is carried out, and a comprehensive brightness evaluation index which is robust to short-wave infrared sensor overexposed pixel inversion and bad point noise is constructed.The application makes full use of the parallel computing and pipeline processing advantages of the FPGA, realizes high-speed automatic exposure control without software participation, and significantly improves the response speed and imaging stability of the short-wave infrared imaging system under strong dynamic light scenes.

In imaging systems, automatic exposure (AE) control adjusts scene exposure to place the subject of interest in an image, such as a human face, within a predefined brightness range. Single-exposure AE techniques may struggle to simultaneously lift dark subjects and preserve highlight details, especially in high dynamic range or backlit scenes. An effective AE control technique can compute a target brightness for the subject in a manner that is tone-mapping-aware and noise-aware. The target brightness can be used to derive an exposure setting for the image. The result is comparable to pipelines relying on fusing multiple exposures. The technique lifts dark subjects to a target brightness while preserving highlight detail, providing an efficient and practical solution for real-time imaging on single-exposure sensors.

A scanning system for the 3D measurement of a surface of an object includes a 3D scanner and a computing system. The 3D scanner includes a scanner frame, a set of imaging modules and a communication module. The imaging modules include a light projector unit for projecting a structured light pattern onto the surface of the object, at least one camera for capturing image data, and at least one image data compression module that compresses the image data using a nonlinear conversion that compresses a dynamic range of intensity values in the compressed image data such that lower intensity values are amplified and mapped to a larger portion of the compressed dynamic range while amplification of higher intensity values is limited. The computing system controls an exposure setting of the 3D scanner based on background intensity values for images in the compressed image data. Related methods are also described.

This invention relates to the fields of image processing and embedded systems, and particularly to a low-power AOV data acquisition device and method. The device includes: a basic image sensor, which does not have an integrated automatic exposure control and motion detection hardware module; a neural network processing unit for loading and running an integrated processing model, a storage module, and a communication module; the integrated processing model runs to form a data-driven processing decision chain, including a preprocessing layer, an automatic exposure analysis subnetwork, and a motion detection subnetwork; the preprocessing layer converts the original Bayer image into a single-channel brightness image through fixed-weight convolution, and calculates a global brightness evaluation value from this brightness image to generate exposure control parameters, and generates event trigger signals based on brightness image analysis of consecutive frames. This invention software-izes the core image processing functions on a general-purpose NPU, fundamentally solving the contradiction between cost, power consumption, and flexibility in traditional solutions, and achieving low-cost, low-power AOV data acquisition.

An x-ray imaging system includes an x-ray source assembly having a transmitter and a video camera. A free standing digital radiographic (DR) detector includes a receiver, wherein the transmitter and receiver are configured to determine an spatial orientation of the digital radiographic detector relative to the x-ray source assembly. A digital display presents a live video image of a patient with a current position of the DR detector overlayed on the video image of the patient. A DR detector having built-in AEC sensors may display the current position of each of the AEC sensors in the overlay relative to the DR detector position based on the determined orientation of the DR detector. Each of the AEC sensors are individually activatable, and an AEC selection interface is configured to receive an operator selection of one or more of the AEC sensors to be activated.