34 results about "Exposure Elapsed Time" patented technology

The invention relates to an automatic exposure method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring multiple frames of to-be-processed images under different exposure time; the to-be-processed image comprises a plurality of pixel blocks; calculating the reflectivity of each pixel block by using the linear relationship between the gray value of each frame of the to-be-processed image and the exposure time; and calculating the expected exposure time of each pixel block under a preset target gray value based on the reflectivity of each pixel block. By adopting the method, the exposure time can be quickly and efficiently calculated.

Methods and devices for dynamically tuning an exposure time of an imager are disclosed herein. The method captures, via an imaging assembly of a device, a first image of an object. The imaging assembly comprises a light source and at least one imager having a first exposure time during capture of the first image. The method determines an average number of a first class of pixels per column of pixels present in the first image and determines whether the average number of the first class of pixels per column of pixels is within a range. If the average number of the first class of pixels per column of pixels is not within the range, the method modifies the first exposure time of the at least one imager by one of decreasing or increasing the first exposure time of the at least one imager based on a classification of the first image.

The invention discloses an imaging apparatus, a control method, a program, and a storage medium thereof. The image pickup apparatus includes: a detection unit configured to detect flicker in an image; a setting member configured to set an exposure time of the image sensor; a calculation unit configured to calculate an exposure time for suppressing flicker; and a control unit configured to cause the display unit to display an operation object representing at least a part of a range of exposure times that can be set by the setting member.

An optical sensor, for sensing a sensing frame corresponding to a flicker period of ambient light, comprising: a pixel array, configured to perform N times of exposure operations via at least one pixel of the pixel array in N exposure time intervals to generate N sub-frames, wherein a summation of the N exposure time intervals equals to a sensing interval and the sensing interval is less than or identical to a first flicker period. The optical sensor adds the N sub-frames to generate a summing sub-frame. The sensing frame comprises the summing sub-frame. The adding operation can also be performed to digital signals generated from the sub-frames. The influences caused by the fluctuation of ambient light can be neutralized, since the frame or portion of the frame is sensed at least twice at different phases of a single flicked period. By this way, the conventional flicker issue can be improved.

The invention relates to a method for determining an exposure time (t) of a camera (1) of a camera system (10) for preferably moving and / or for machine object recognition in a moving scene, in which a predefined minimum angular image resolution (Ra *) is followed, comprising the following steps: a) determining an effective angular image resolution (Ra, eff (t)) as a function of the exposure time (t), b) the maximum allowable exposure time (tmax) is determined as the exposure time when the effective angle image resolution (Ra, eff (t)) is the value of the minimum angle image resolution (Ra *), and c) the exposure time (t) is set to a value less than or equal to the maximum allowable exposure time (tmax). The invention also relates to a camera system (10).

This facilitates the management of exposure conditions for materials displayed in the exhibition area. [Solution] The system includes an exposure amount calculation unit that determines the amount of exposure based on the exposure time and illuminance of the exhibition area where the exhibited items are displayed, determined by a lighting device, a determination unit that determines whether the amount of exposure has reached a threshold value which is lower than a reference exposure amount which is the upper limit of the amount of exposure for a specified period for the exhibited items displayed in the exhibition area, and an output unit that outputs an alert signal when the amount of exposure reaches the threshold.

Disclosed herein are a system, method, and computer program product embodiments for generating an exposure-adjusted frame based on local tone curve sampling. In some embodiments, a change in exposure times between a first frame captured by an image sensor and a second frame captured by an image sensor subsequent to the first frame may be determined. Different local tone curve resampling techniques may be performed based on whether the change is an increase or decrease in exposure times. Such techniques may resample local tone curves generated for the first frame to match the exposure time of the second frame. The resampled local tone curves, when applied to the second frame, mitigate various artifacts in the second frame, such as frame-to-frame flicker.

The application discloses a kind of automatic exposure control methods based on structured light stripe, comprising: S1, a group of four-step phase shift grating is collected, and is solved;S2, to modulation and background light are double down-sampling, eliminate oversaturated sampling value is sorted and is histogram;S3, find the modulation value and background light intensity value of the mark position on histogram;S4, according to step S3, the relationship between exposure time and background light is obtained, to find the most suitable exposure time of current frame;S5, the most suitable exposure time of current frame is compared with current frame exposure time, and output stable value;S6, set the most suitable exposure time of current frame, point cloud generation.The application solves the problem that exposure time is not adjusted for point value during camera exposure process, which leads to high or low exposure time, affecting measurement efficiency and quality.

To easily recognize the state of shutter speed adjustment by slider operation and reduce the labor required for adjustment.SOLUTION: An imaging device includes imaging means for capturing an image, detection means for detecting flicker from the image, display means for displaying information, setting means for setting an exposure time of the imaging means, calculation means for calculating an exposure time that suppresses flicker, and control means for causing the display means to display an operation object that displays at least a partial range of exposure times that can be set by the setting means, and when the exposure time calculated by the calculation means is within the display range of the operation object, the control means displays an indicator related to the calculated exposure time on the display means.SELECTED DRAWING: Figure 5

A method for determining an exposure time for a camera of a camera system that is moving and / or used in a moving scene for automatic object recognition, wherein a specified minimum angular image resolution is maintained. The method includes: determining an effective angular image resolution as a function of the exposure time; determining a maximum permissible exposure time as the exposure time with which the effective angular image resolution takes the value of the minimum angular image resolution; setting the exposure time to a value less than or equal to the maximum permissible exposure time. A camera system is also described.

A target position for calculating exposure time is automatically calculated and an appropriate exposure time is easily calculated. A system to do this includes: a camera that performs image capture of an image capture target range including a subject's eye to be observed by ophthalmic equipment; and exposure time calculation device for calculating an exposure time of the camera. The exposure time calculation device divides the image capture target range into areas of different brightness and calculates the exposure time in keeping with a brightness of an area specified by an operator.

The present application relates to the technical field of image processing, and specifically provides a kind of construction method of low signal-to-noise ratio spatial point source target data set, including obtaining scientific image, according to scientific image, establish signal-to-noise ratio-exposure time physical model to obtain the optimal exposure time corresponding to target signal-to-noise ratio, according to optimal exposure time, collect multiple frames of images to form multiple groups of acquisition sequences, each group of acquisition sequences includes two long exposure frames and a short exposure frame, according to target in long exposure frame, obtain the target label position of short exposure frame by label migration, create annotation mask with target label position as center, and based on the imaging characteristics of short exposure frame and target neighborhood, perform half-height full-width anomaly detection, ellipticity test, background stability test and star orbit crossing detection on generated sample, obtain sample with quality level, and then form data set.The present application method can improve the labeling accuracy, physical authenticity and data set reliability of low signal-to-noise ratio spatial point source target sample.

The present invention discloses an automated multi-reflective surface three-dimensional measurement method based on irradiance fusion. An exposure time selection network is used to generate a set of optimal exposure times and corresponding exposure times. There is no need to manually set the exposure time, which leads to redundancy in the captured images, thereby improving the automation and intelligence of the three-dimensional measurement process. A multiple irradiance fusion network is used to fuse the irradiance map sequences generated by all grayscale images to generate an irradiance map. On the one hand, this avoids directly using the grayscale map for phase calculation, and on the other hand, it reduces the error in the calculation using the irradiance map. At the same time, the multiple irradiance fusion network can feed back the irradiance map error value to the exposure time selection network for learning, thereby improving the accuracy of the phase calculation from the image perspective.

High dynamic range video frames may be generated from images captured using different exposure times. The merging of the images may combine pixel values of the images using a parametric exposure time ratio to form a merged video frame. The quality of the merged video frames may depend on the accuracy of the exposure time ratio. In some scenarios, the exposure time ratio is unknown, or reported information from an automatic exposure controller about the exposure time ratio is inaccurate. Using an inaccurate exposure time ratio to merge images will result in undesired artifacts in the merged video frames. To solve this problem, a self-calibration technique may be implemented to derive an exposure time ratio based on the image itself.

Provided are an image processing device and a robot control device capable of determining an appropriate range of exposure times and number of shots for photographing a subject. The image processing device, which processes a captured image obtained by photographing the subject, comprises: a first exposure time determination unit that determines a minimum exposure time for photographing the subject; a second exposure time determination unit that determines a maximum exposure time for photographing the subject; a photographing condition determination unit that determines the exposure time and number of shots for photographing the subject based on an exposure time range that includes the determined minimum and maximum exposure times; and a composite image generation unit that generates a composite image by synthesizing a plurality of captured images obtained by photographing the subject using the determined exposure times and number of shots.

An exposure head includes a substrate on which light sources are mounted, and a condensing optical system. A memory stores a profile indicating correction gains for exposure amounts. A sensor detects a temperature. A processor acquires a correction gain that corresponds to a position of a light source that reached an exposure timing, corrects, for each of the light sources, an exposure amount of the light source with the correction gain corresponding to the position of the light source, and adjusts, for each of the light sources, a reference position of the corresponding correction gain in the profile in accordance with the temperature detected by the sensor.

The invention relates to an exposure time control method, spectral imaging equipment and imaging equipment. The exposure time control method comprises the following steps: determining a predetermined frame period of imaging equipment; and setting exposure time offset of adjacent N + 1 frame images of an imaging chip of the imaging device to correspond to M times of the predetermined frame period, N and M being integers, and N being greater than or equal to M. Therefore, by controlling the exposure time offset between the adjacent frames based on the predetermined frame period of the imaging equipment, the problem of flicker of an imaging picture of the imaging equipment can be solved.

The invention discloses an aero-engine turbine blade temperature measurement method and system based on exposure control, and relates to the technical field of temperature measurement. The device comprises an experiment table, an experiment box body assembly, an imaging assembly and a high-frequency heating assembly, an experiment box body assembly and an imaging assembly are built at the top end of the experiment table, and the imaging assembly is arranged at one end of the imaging assembly; the experiment box body assembly comprises a black body box, an observation window and a clamping tool, and the inner side of the black body box is fixedly connected with the clamping tool. By controlling the exposure time of the camera and imaging of the CMOS camera and combining the preset exposure time of the camera, effective imaging of an experimental sample piece at different temperatures is achieved, specifically, measurement of a temperature field at an extreme temperature is achieved, the temperature measurement range is expanded, and limitation caused by sensor saturation is eliminated; the influence of emissivity in a traditional measurement method is eliminated; the continuity of the measurement process is ensured, and the camera can automatically switch the exposure time at different temperatures.

The invention provides an exposure time determination method, device and equipment, and the method comprises the steps: obtaining a calibration image collected based on an exposure time initial value; performing histogram statistics on gray values of pixel points in the target area in the calibration image to obtain a gray histogram of the target area; determining the current image contrast of the target area according to the gray histogram; and determining target exposure time according to a relationship between the exposure time initial value and the current image contrast and a set target image contrast. Therefore, modeling is carried out on the gray level distribution characteristics in the target area of the calibration image, the image contrast is determined, and the target exposure time is determined in combination with the relation between the exposure time and the contrast, so that the problems of large brightness value fluctuation and uncontrollable contrast in the exposure time determination process in the related technology are effectively avoided; the optimal exposure time suitable for the current scene can be quickly and stably determined, and then a clear target calibration image with good contrast is obtained.

The invention discloses an exposure time prediction method and related equipment, and the method comprises the steps: obtaining a second moment position of a camera according to a first moment position and speed of the camera, and calculating an average light measurement value of a laser point cloud subjected to color assignment processing in a target range of the second moment position, and obtaining a first predicted exposure time corresponding to the second moment position based on the average photometric value and the photometric parameter. And then obtaining a first adjustment value according to the laser point cloud which is not subjected to color assignment processing in the Bayer image, and determining the exposure time of a second moment position according to the exposure time corresponding to the first moment position, the first adjustment value, the first predicted exposure time and the color assignment processing proportion of the laser point cloud. According to the method, on one hand, more accurate exposure time prediction is carried out on laser point clouds subjected to color assignment processing and laser point clouds not subjected to color assignment processing, and the system construction quality is improved; on the other hand, the position and speed information is combined, and the prediction precision is improved by more accurately utilizing the environment information of the predicted exposure position.

An exposure control system according to the present invention comprises an exposure control unit that obtains a multiplication value between an exposure time and a gain from a parameter based on an image captured by an imaging unit using an exposure control model that is a trained model that is trained by reinforcement learning, and in which the output is a multiplication value of the exposure time and the gain, the input being a parameter including the exposure time for an image captured by the imaging unit, the gain for adjusting brightness when capturing an image using the imaging unit, an average luminance value of a region of interest in the image, a target luminance value, and a difference between the average luminance value of the region of interest and the target luminance value.

The invention discloses a self-adaptive multi-exposure fusion three-dimensional measurement method for a high dynamic range scene. The method comprises the following steps: firstly, acquiring high-frequency phase shift fringe patterns at different exposure times, and finding out initial exposure time for preventing effective measurement areas in all phase shift patterns from overexposure through time domain light intensity overexposure detection operation; taking the high-frequency phase shift fringe pattern of the initial exposure time as an initial image of multi-exposure fusion, adaptively reserving a fringe region with high phase quality according to a modulation degree condition through a noise-modulation degree model, and introducing a time domain superposition principle to estimate the next exposure time of the multi-exposure fusion; and finally, calculating an effective measurement area of the current fused fringe image by using a reference plane phase based on depth constraint, and continuing to perform multi-exposure fusion until the effective measurement area meets a modulation degree condition, thereby completing three-dimensional measurement of the whole high dynamic range scene. According to the invention, the high-quality fringe pattern is obtained through adaptive multi-exposure fusion, the total exposure time is significantly reduced by introducing the time domain superposition technology, and high-precision and high-efficiency full-automatic three-dimensional measurement of a high-dynamic-range scene is realized.

The application discloses an automatic multi-exposure selection method based on fringe projection. Firstly, a projector is used to project a phase-shift fringe pattern to a measured scene, and a camera synchronously collects a group of fringe images with a preset exposure value. A pseudo-white image is obtained by using a highest-frequency fringe image. An overexposure area with a brightness greater than a preset threshold value in the pseudo-white image is found, and a seed filling algorithm is used to divide the overexposure area into a plurality of sub-areas. The pixel number and average brightness of the largest overexposure sub-area are used to iteratively calculate an optimal initial exposure time, so that the initial exposure is as large as possible and the measured scene has no obvious overexposure area under the initial exposure. An automatic multi-exposure algorithm based on a fringe image modulation degree is used to calculate a multi-exposure number and automatically iterate subsequent exposure times, high-quality absolute phases under the exposure times are fused to obtain a multi-exposure fusion absolute phase. The calibration parameters of a binocular camera are used to perform stereo rectification on the absolute phases of left and right cameras. The absolute phases of the left and right cameras are phase-matched to obtain a two-dimensional disparity map, and high-speed and high-precision three-dimensional topography measurement is realized.

1. Method for determining an optimal exposure time (texp,opt) of a time-of-flight camera for a given laser class, the time-of-flight camera operates according to a phase measurement principle and emits light in pulse groups, the first procedural block comprises the following steps: - Setting a start exposure time (texp,0) for the pulse groups, - Establishing at least one time reference point (ti) for each impulse group, - Determination of a limit value (GW) and accessible radiation (ZS) for the specified laser class at each support point (ti) within a specified time base, - Verification that a quotient of the limit value (GW(ti)) and the accessible radiation (ZS(ti)) corresponds to a desired safety margin (SM) within the specified time base, - If the quotient never reaches the desired safety margin (SM), a new exposure time (texp,k) is specified and the process steps are repeated. - If a quotient reaches the desired safety margin (SM), the current exposure time (texp,k) is output as the optimal exposure time (tepx,opt).

The application discloses a self-adaptive high-dynamic fusion method based on structure light stripe block, which comprises the following steps: S1, obtaining an automatic exposure time, projecting a four-step phase shift grating graph using the exposure time and calculating, calculating the median of the projection light intensity of left and right cameras; S2, calculating a ratio value, calculating each reference modulation value point and corresponding each reference exposure time; S3, comparing the number of the reference exposure time, if the number is greater than 1, continuing to execute the following steps, if the number is equal to 1, using the automatic exposure to project and calculate a complete grating group and directly outputting to the last step; S4, re-projecting using each reference exposure time and calculating each value; S5, performing a fusion operation on different modulation, background light and phase results; S6, calculating a reconstruction result and outputting. The application can realize automatic fusion, overcome a wide dynamic range and accurate imaging, overcome the phenomenon of inconsistent color of a map, vacancy of an overexposed area and the like.

The overall image acquisition method includes the following steps: providing a frame-based camera (10) with a field of view; storing images by an event-based camera (12) during the acquisition time interval (Δ). T, Texp A series of events generated during the acquisition interval, the event-based camera views the target scene within the field of view of the frame-based camera; motion in the target scene is estimated based on events stored during the acquisition interval (16); the exposure time is determined based on the estimated motion ( Texp ); and apply the exposure time to a frame-based camera (10) for capturing frames.

The invention relates to a method for determining an exposure time (t) for a camera (1) of a preferably moving and / or machine-based object recognition camera system (10) in a moving scene, wherein a predetermined minimum angular image resolution (R) a* ) is complied with, including the following steps: a) Determining an effective angular image resolution (R a,eff (t)) as a function of the exposure time (t), b) Determining a maximum permissible exposure time (t max ) as the exposure time at which the effective angular image resolution (R) a,eff (t)) the value of the minimum angular image resolution (R a* ) assumes, c) Setting the exposure time (t) to a value less than or equal to the maximum permissible exposure time (t) max ). The invention further relates to a camera system (10).

A photographing method, including: obtaining a preview stream; detecting a movement speed of a photographed subject according to the preview stream; obtaining a first exposure time by shortening, according to the movement speed, an initial exposure time for preview frames in the preview stream, in response to determining that the movement speed is higher than a preset speed threshold; and capturing a picture based on the first exposure time.

The invention relates to a method for processing images of the sky captured by an automated telescope. The main parameters are exposure time and gain. More specifically, the invention relates to the use of calibration images (dark images and bias images) to compensate for the defects introduced by the camera itself.

This invention provides a method, apparatus, and device for determining exposure time. The method includes: acquiring a calibration image based on an initial exposure time value; performing histogram statistics on the grayscale values ​​of pixels located within a target region in the calibration image to obtain a grayscale histogram of the target region; determining the current image contrast of the target region based on the grayscale histogram; and determining the target exposure time based on the relationship between the initial exposure time value and the current image contrast, as well as the set target image contrast. Therefore, by modeling the grayscale distribution characteristics within the target region of the calibration image to determine the image contrast, and combining the relationship between exposure time and contrast to determine the target exposure time, this effectively avoids the problems of large brightness fluctuations and uncontrollable contrast in the exposure time determination process of related technologies. It can quickly and stably determine the optimal exposure time suitable for the current scene, thereby obtaining a clear target calibration image with good contrast.