64 results about "Exposure value" patented technology

An example electronic device includes a camera which can set a plurality of exposure values; a sensor for detecting an image capturing environment of the electronic device; and at least one processor electrically connected to the camera and the sensor, wherein the at least one processor is configured to: obtain information about the image capturing environment through the sensor; set two or more exposure values among the plurality of exposure values on the basis of the obtained information about the image capturing environment; obtain frames to which the two or more set exposure values are alternately applied; and generate a video file on the basis of the obtained frames.

The invention relates to the technical field of visual inspection, and particularly discloses a visual control system and method for plastic bottle sorting based on visual inspection, and the method comprises the following steps: S1, starting a camera when a plastic bottle is detected, and calculating the imaging time; s2, obtaining an exposure value of the imaging picture, presetting an exposure interval, marking abnormal pixel points, calculating the proportion of the abnormal pixel points, and carrying out preliminary screening on the plastic bottles based on the proportion of the abnormal pixel points; s3, marking to-be-sorted bottles, arranging an NIR sensor, emitting near-infrared light when the to-be-sorted bottles pass, acquiring a spectrum reflected by the to-be-sorted bottles, and determining wavelengths of absorption peaks corresponding to the to-be-sorted bottles based on the spectrum; and S4, the materials of the bottles to be sorted are determined based on the wavelengths, the total time and distance coefficient are calculated, and the plastic bottles are blown out through the corresponding air valves to complete sorting. The sorting efficiency is improved, the labor cost is reduced, and meanwhile, the false drop rate can be further reduced through automatic work of a machine.

Embodiments compress image data. According to an embodiment, analog image data comprising an array of pixel exposure values representing an image is received and the analog image data is convolved with at least one programmable kernel to produce an array of scalar values. The array of scalar values are quantized to generate a quantized feature map. The quantized feature map is a compressed representation of the image relative to the analog image data received.

According to embodiments of the present disclosure, an image processing apparatus for processing image data captured by an image sensor configured to set exposure area by area includes a calculation unit configured to calculate an exposure value of each of the areas, and a correction unit configured to, in a case where the exposure value of each of the areas does not fall within a range based on a reference exposure value, correct the exposure value of each of the areas so that the exposure value approaches an upper limit or lower limit of the range.

An image processing apparatus processes image data captured by an image sensor that allows setting of an exposure value for each region of the image sensor, and sets the exposure value for each region based on a magnitude of luminance contrast in each region.

An imaging apparatus has a plurality of cameras, each including: an imaging device in which unit pixels are periodically arranged, the unit pixels including high sensitivity sub-pixels that output a first output value for a certain exposure amount and low sensitivity sub-pixels that output a second output value lower than the first output value for a certain exposure amount; a composition section that selects and outputs an output of the high sensitivity sub-pixels and an output of the low sensitivity sub-pixels when the exposure amount is smaller or larger than the predetermined exposure value, respectively; and an amplification section that amplifies and outputs an output of the composition section, and so that image signals of the high and low sensitivity sub-pixels in the same predetermined exposure values become the same between the plurality of cameras, corrects the image signals of the high and low sensitivity sub-pixels.

In one example, a computing system is described. The computing system is configured to perform a set of acts that includes obtaining, from a DEP, a non-redacted unique viewer count for a set of digital content exposures. The set of acts also includes obtaining, from the DEP via the protected cloud environment, a redacted exposures count for the set of digital content exposures. In addition, the set of acts includes determining, using an inverted reach curve and the non-redacted unique viewer count, an initial exposures value for the set of digital content exposures. The set of acts also includes scaling the initial exposures value using the redacted exposures count to obtain a final exposures value. Further, the set of acts includes determining, using a reach curve and the final exposures value, a final unique viewer count for the set of digital content exposures, and outputting the final unique viewer count.

The embodiment of the invention relates to the technical field of picture processing, and discloses a picture processing method and an unmanned aerial vehicle, the picture processing method is applied to a shooting module, the shooting module comprises a first camera, a second camera, a first chip and a second chip, the first camera is electrically connected with the first chip, and the second camera is electrically connected with the second chip. The picture processing method comprises the following steps: controlling a first camera to shoot through a first chip to obtain a first picture; acquiring a first exposure value of the first chip; setting the exposure parameter of the second chip as a first exposure value; controlling a second camera to shoot through a second chip to obtain a second picture; and splicing the first picture and the second picture to obtain a combined picture. In this way, the brightness difference of different areas in the combined picture can be reduced.

The invention relates to the technical field of image processing, and discloses an image processing method, a shooting method, a storage medium, equipment and a program product, electronic equipment collects a collection scene to obtain multiple frames of to-be-fused images, and when the judgment result shows that the multiple frames of to-be-fused images comprise a first shooting element of which the position changes in different to-be-fused images, a second shooting element of which the position changes in the different to-be-fused images, and a third shooting element of which the position changes in the different to-be-fused images; when the brightness of the first shooting element meets the first brightness condition and the brightness of the second shooting element meets the first brightness condition, the electronic equipment improves the brightness of the dark frame with the low exposure value in the multiple frames of images to be fused, so that the brightened dark frame serves as an output image. Due to the fact that the exposure value of the dark frame is low, the brightness of the second shooting element with the high brightness in the dark frame can be reduced, overexposure cannot occur, and the abnormal phenomenon of overexposure of the output image can be avoided; moreover, the electronic equipment does not perform fusion processing on the multiple frames of images to be fused, but takes the brightened dark frame as the output image, so that the abnormal phenomenon of ghosting of the output image can be avoided.

There is provided a system and method of process window qualification. The method includes obtaining a wafer comprising a plurality of dies respectively printed under a plurality of process window conditions characterized by varying values of focus and exposure, wherein the wafer is fabricated in accordance with a chip design containing a pattern of interest (POI) comprising a surface structure and an underneath structure; inspecting the wafer at POI locations to obtain a plurality of images each capturing an occurrence of the POI; and providing a group of measurements from the plurality of images, comprising, for each given image: extracting a surface contour of the surface structure and an underneath contour of the underneath structure; shifting one of the contours relative to the other one or more times to simulate one or more overlay variations; and measuring a critical metric between the contours following each shift.

The invention provides an image processing method and electronic equipment. The problem that an image shot by the electronic equipment has color cast can be solved. The method comprises the steps of displaying a first image in response to a shooting operation of a user; the first image is generated by fusing a second long exposure image frame and a second short exposure image frame; the exposure value of the second long-exposure image frame is a third exposure value, and the second short-exposure image frame is obtained after exposure compensation is carried out by adopting the target gray-scale value; wherein the third exposure value is obtained by adopting an automatic exposure AE algorithm, and the target gray-scale value is obtained based on the relationship between the gray-scale value of the image frame and the number of pixels.

The model training method, the illumination determination method, the device and the program product provided by the present disclosure relate to the technical field of image processing, and include the following steps: acquiring low dynamic range images of a preset environment acquired based on different exposure values and actual illumination values of the preset environment when the low dynamic range images are acquired; and training a preset model according to each low dynamic range image and the actual illumination value corresponding to the low dynamic range image to obtain an illumination prediction model. In the model training method, the illumination determination method, the device and the program product provided by the present disclosure, a predicted illumination value can be obtained according to the acquired low dynamic range image in a store, data does not need to be collected by a dedicated person, and the brightness of a lighting lamp in the store can be adjusted in real time according to the predicted illumination value.

An image acquisition method, apparatus, computer-readable storage medium, and terminal are disclosed. The method includes: acquiring a start signal; acquiring the start signal; wherein, before the number of frames acquired reaches a threshold, the exposure value used to acquire each frame is a first exposure value; after the number of frames acquired reaches the threshold, the exposure value used to acquire each frame is calculated by an automatic exposure algorithm. The solution provided in this application enables the rapid acquisition of high-quality images after startup.

An electronic device is provided. The electronic device includes a plurality of image sensors, one or more processors communicatively coupled to the plurality of image sensors, memory, comprising one or more storage media, storing one or more computer programs, wherein the one or more computer programs include computer-executable instructions that, when executed by the one or more processors individually or collectively, cause the electronic device to obtain image frames output from each of the plurality of image sensors and time stamps for the respective image frames in response to a capturing start event, control a timing at which an image frame of at least one of the plurality of image sensors is output, based on the obtained time stamps, so as to control at least one of the plurality of image sensors to output subsequent image frames at one or more different time points, obtain information about a capturing environment of each of the image frames, determine respective exposure values of each of the plurality of image sensors, in response to a change in the information about the capturing environment of at least one of the image frames, so that two or more of the plurality of image sensors have different exposure values, and obtain image frames from the plurality of image sensors, based on the determined exposure values corresponding to the changed information about the photographing environment.

In one example, a computing system is described. The computing system is configured to perform a set of acts that includes obtaining, from a DEP, a non-redacted unique viewer count for a set of digital content exposures. The set of acts also includes obtaining, from the DEP via the protected cloud environment, a redacted exposures count for the set of digital content exposures. In addition, the set of acts includes determining, using an inverted reach curve and the non-redacted unique viewer count, an initial exposures value for the set of digital content exposures. The set of acts also includes scaling the initial exposures value using the redacted exposures count to obtain a final exposures value. Further, the set of acts includes determining, using a reach curve and the final exposures value, a final unique viewer count for the set of digital content exposures, and outputting the final unique viewer count.

The invention provides an automatic identification processing method and system for errors of a photoetching machine. The method comprises the following steps: sequentially performing position coarse alignment, inclination amount detection, position fine alignment and exposure on a wafer of the photoetching machine; replacing an alignment image acquisition area, an alignment mode and an alignment mark if position coarse alignment or fine alignment is unsuccessful, and replacing an exposure focal plane position, a focusing mode and a focusing position if inclination amount detection reports errors; if exposure is abnormal and fine alignment is performed on the complete acquisition area, the focusing mode and the focusing position are replaced, and if fine alignment is performed on the incomplete acquisition area, the previous exposure value is used; and if the action of the photoetching machine is abnormal, stopping the action and giving an alarm. According to the invention, detection parameters of coarse alignment, inclination amount detection, fine alignment and exposure abnormity of the wafer of the photoetching machine are automatically adjusted, the unnecessary error reporting downtime frequency of the machine is reduced, and the influence of shutdown of the machine on the running amount and the wafer quality is avoided; and meanwhile, the standing time, batch number and error signals of the wafer are monitored to find machine abnormity in time, so that the loss caused by abnormity of a certain module of the machine is reduced.

The invention provides an image detection method and a training method and device of an image detection model, and relates to the technical fields of computer vision, artificial intelligence, image processing, reinforcement learning and the like. The image detection method comprises the following steps: according to a to-be-detected image, determining an exposure type and an exposure correction value of the to-be-detected image by adopting a trained image detection model; wherein the trained image detection model is used for performing feature extraction on the to-be-detected image to obtain an exposure attribute feature of the to-be-detected image, and determining an exposure category and an exposure correction amount according to the exposure attribute feature; wherein the exposure category is used for indicating the category of the exposure state of the to-be-detected image, and the exposure correction amount is used for indicating the exposure value variation of adjusting the exposure state of the to-be-detected image to the target exposure state.

This invention discloses a method for obtaining the ground truth of high dynamic range images at any time from an event camera, comprising the following steps: calibrating multiple optical cameras to obtain the homography matrix H between each optical camera and a specified optical camera. k Then, images captured by two optical cameras at different exposure values ​​are obtained in the dynamic scene, and these images are compared with the homography matrix H. k Weighted image fusion is performed to obtain a high dynamic range (HDR) image. Using SIFT feature extraction and traversal matching, key points in adjacent frames of the HDR image are matched. If the number of matching points is sufficient, the homography matrix H between the two adjacent frames is calculated; if the number is insufficient, the threshold is reduced, and matching is performed again. The homography matrix H is linearly interpolated and multiplied with the previous frame of the two adjacent frames to obtain the HDR image at any given time. This invention effectively solves the problem of obtaining the true value of an HDR image at any given time.

An electronic device according to an embodiment disclosed in the present document may comprise a camera, a display, a processor and a memory in which instructions are stored. The instructions, when executed by the processor, cause the electronic device to: identify movement of an animal included in a preview image acquired using the camera while the preview image is displayed on the display; acquire an image including the animal using a first exposure value through the camera based on determining the magnitude of the identified movement is greater than a threshold value; and acquire the image including the animal using a second exposure value that is greater than the first exposure value through the camera based on determining the magnitude of the identified movement is less than the threshold value. Other various embodiments identified through the present document are possible.

Embodiments of the present application disclose an image processing method and device, the method comprising: detecting a face region in an image; adjusting an exposure value of the detected face region to be within a preset exposure range interval, wherein the exposure value within the preset exposure range interval does not cause color deviation of the face region; performing white balance calibration on the face region after the exposure value adjustment according to face color imaging standard data to obtain a processed image, wherein the face color imaging standard data is used to represent color imaging states of faces with different skin colors under ideal lighting conditions. The technical solution of the embodiments of the present application can automatically perform white balance calibration on an image based on face color, and can restore the color of a face in an image collected under a complex lighting environment, thereby avoiding the problem of face payment failure.

The invention provides an automatic focusing method and system. The system preliminarily judges whether focusing needs to be triggered or not according to the change of the definition value to obtain a preliminary judgment result. And further, the system corrects the preliminary judgment result according to the exposure value change, and executes the corrected judgment result. Therefore, the triggering accuracy can be improved without supporting a PDAF function or externally hanging a TOF module by a sensor.

An image signal processor accesses raw images from an image sensor. The image signal processor obtains adaptive acquisition control data for the raw images. The adaptive acquisition control data comprises at least one of a luminance value, a contrast value, a gain value, an exposure value, or a white balance value. The image signal processor obtains, in accordance with the adaptive acquisition control data, an indication of whether to use a star trails scene classification for the raw images. The image signal processor transmits, to buffers for storing data in accordance with the raw images, the indication of whether to use the star trails scene classification.

1. The name of the design product: light meter. 2. The use of the design product: for measuring the intensity of ambient light and converting into exposure value. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view 1.

The invention discloses a photographing method, electronic equipment and a readable storage medium, and belongs to the field of photographing. The method comprises the steps that a first electronic device obtains a first image sequence, and the first image sequence comprises at least two original images with different exposure values collected by an image sensor of the first electronic device in different working modes; and the first electronic equipment sends the first image sequence to the second electronic equipment, wherein the first image sequence is used for generating the high dynamic range image.

Embodiments of the present application provide an image processing method, device and storage medium, belonging to the field of image processing. The method comprises obtaining an HDR image of a target object, and performing image division on the HDR image according to the brightness value of the HDR image to obtain a plurality of image regions; determining a brightness abnormal region from the plurality of image regions, and determining a target exposure value of the brightness abnormal region according to the brightness value of the HDR image; performing an image acquisition operation on the target object according to the target exposure value to obtain an exposure correction image; extracting a target image region corresponding to the brightness abnormal region from the exposure correction image, and replacing the brightness abnormal region in the HDR image with the target image region to obtain a target image. The present scheme extracts the target image region corresponding to the brightness abnormal region from the exposure correction image to replace the image of the brightness abnormal region in the HDR image, and obtains a whole image with normal brightness, greatly improving the image quality.

A control device of an imaging apparatus that images a subject through a stop, includes: a processor, and the processor is configured to: derive a first exposure value based on captured first image data; drive the stop based on the first exposure value; derive a second exposure value based on second image data captured during the driving of the stop based on the first exposure value; and change, during the driving of the stop based on the first exposure value, the driving of the stop to the driving of the stop based on the second exposure value.

The invention relates to the technical field of data processing, in particular to a method for determining an illumination intensity boundary value, electronic equipment and a vehicle. The method comprises the steps of collecting a standard image of a real object; determining relational data of an exposure value and illumination intensity of the image collector under a target configuration parameter, the target configuration parameter being a configuration parameter of the image collector under an illumination boundary condition; adjusting the exposure value of the standard image, and determining that the image perception algorithm can accurately identify the exposure boundary value of a real object in the standard image; and from the relational data, calling the illumination intensity corresponding to the exposure boundary value as an illumination intensity boundary value to be output. Therefore, manual participation is not needed in the process of determining the illumination intensity boundary value, manpower is effectively saved, the determined illumination intensity boundary value is more accurate, and better image recognition control can be carried out based on the illumination intensity boundary value.

Techniques are disclosed for improving the detection of objects having different relative angular velocities with respect to the vehicle cameras. The techniques function to selectively weight pixel exposure values to favor longer or shorter exposure times for certain pixels within the pixel array over others. A selective pixel exposure weighting system is disclosed that functions to weight the exposure values for pixels acquired within a pixel array based upon the position of the pixel within the pixel array and other factors such as the movement and / or orientation of the vehicle. The techniques advantageously enable an autonomous vehicle (AV) or advanced driver-assistance systems (ADAS) to make better use of existing cameras and eliminate motion blur and other artifacts.

The invention provides a device for detecting the light reflection coefficient of a sign by using the exposure degree of a photography method, the device comprises a driving assembly, a dynamic calibration assembly, a rear bearing assembly, a connecting assembly and a photography method detection assembly, and the driving assembly comprises a driving vehicle body, a hidden groove, a sealing seat and an air bag type sealing ring. Compared with the prior art, the method has the following beneficial effects that the driving assembly, the dynamic calibration assembly and the photographing method detection assembly are arranged, the dynamic calibration plate is photographed through the camera before label detection, and the exposure value of the camera in the current environment is determined through the clear reflection coefficient value of the dynamic calibration plate; a driving assembly, a rear bearing assembly and a connecting assembly are arranged, the rear bearing assembly and the driving assembly are of a detachable structure, primary connection of a main lock catch and an auxiliary lock catch is achieved, reinforced connection is achieved through the connecting assembly, and therefore the light reflection coefficient of the to-be-detected sign can be determined through the camera shooting method, and detection of the light reflection coefficient of the sign can be facilitated. And the rear bearing assembly can be conveniently disassembled and assembled for use.

A system includes a controller including an exposure tracking circuit structured to interpret gas exposure values from a selected group of gas monitors, an exposure description circuit structured to determine an exposure description, in response to the gas exposure values, for at least one entity associated with the selected group of gas monitors, and an exposure reporting circuit structured to provide an exposure communication in response to the exposure description.