145 results about "Exposure value" patented technology

Systems and methods for automatically adjusting the exposure settings (e.g., exposure time, analog gain, etc.) of imaging device(s) and / or camera(s) utilized in machine vision systems. According to embodiments of the present disclosure, one or more images or frames of a stream of images captured by an imaging device of a machine vision system can be processed and analyzed to determine exposure settings that may be applied to capture subsequent images by the imaging device. For example, a frame of the stream of images can be partitioned into a plurality of zones, and the pixels of each zone can be non-uniformly sorted into a histogram to represent the distribution of pixels in each zone. The histogram values for each zone can be aggregated to determine an aggregated exposure value associated with the frame, which can be compared against a target exposure value in view of a response function associated with the imaging device to determine the exposure value for capturing subsequent frames in the stream of images.

A composite image generating device, method, and non-transitory computer readable storage medium thereof are provided. The device determines an eye gaze position of a user. The device determines a region of interest corresponding to a plurality of real-time images based on the eye gaze position, and each of the real-time images corresponds to an exposure value and a resolution. The device generates a composite image based on the region of interest and a region of non-interest corresponding to the real-time images, and the region of interest and the region of non-interest of the composite image are generated based on the real-time images corresponding to different of the resolutions. The device transmits the composite image to a display device for a real-time display operation.

Facial Comparison Biometrics System: A facial comparison biometrics system, comprising a facial comparison biometrics server (4) and one or more devices (6) arranged to acquire a biometric video stream from a user. The facial comparison biometrics server (4) includes a configurator (8) arranged to issue an acquisition configuration to at least one device (6) and an analyzer (10) arranged to receive and process a biometric video stream from said at least one device (6) in response to an acquisition configuration and to return an injection attack indicator.The facial comparison biometrics server (4) is arranged to determine, for each acquisition configuration, at least one acquisition parameter condition chosen from the group comprising a zoom value, a sharpness value, an exposure value, a white balance value, and a color saturation value, to vary the value of at least one acquisition parameter condition in the acquisition configuration for which it was determined, to measure in the resulting biometric video stream at least one characteristic property of at least one acquisition parameter condition, and to return an injection attack indicator based on the measurement of at least one characteristic property. Fig. 1.

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 provides a lens detection method and system, and the method comprises the steps: sequentially enabling transmission light to penetrate through a to-be-detected lens for imaging based on a plurality of different exposure values, and determining a plurality of candidate images; performing fusion according to the plurality of candidate images to determine a transmission image of the to-be-detected lens; identifying the transmission image to determine a plurality of abnormal pixel points of which the pixel values are smaller than a pixel threshold value; determining a defect area according to all the abnormal pixel points; and determining a detection result of the to-be-detected lens according to the defect area. Through the above detection method, the detection of the lens is more comprehensive, and the detection result is more reliable.

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.

The invention provides an image exposure adjustment method and device, equipment, a medium and a product, and the method comprises the steps: obtaining exposure features corresponding to an original image, and the exposure features comprise an image quality feature, an image information feature and a global feature of the original image; predicting an adjustment exposure value corresponding to the next frame of image of the original image based on the exposure characteristics; and adjusting the exposure value of the next frame of image based on the adjusted exposure value. According to the invention, the image exposure effect can be improved, and the imaging quality is improved.

The invention relates to a camera-based vehicle interior light supplement control method and system, and the method comprises the steps: determining the brightness of an environment in a vehicle through the exposure value of a camera, and carrying out the automatic adjustment of the brightness of a light supplement LED array and the brightness of a vehicle-mounted screen according to the brightness. The imaging quality and stability of the camera in the vehicle in a weak light and variable light environment are effectively improved; the method not only solves the problems that the traditional automatic exposure is insufficient in effect under low illumination and a simple light supplementing mode cannot intelligently adapt to the environment, but also considers the influence of an in-vehicle screen on imaging and brings the influence into unified control, and the camera self-exposure adjustment is assisted after the main light environment is adjusted. Therefore, a clearer and more reliable image input basis is provided for applications such as vehicle-mounted face recognition and state monitoring.

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.

The present application relates to the field of image processing. Provided are an image exposure method and apparatus, and an electronic device and a storage medium. The image exposure method provided in the present application comprises: on the basis of a constructed mapping relationship, determining initial exposure parameters of a target image; on the basis of a current image brightness value of the target image, determining the number of frames for convergence of the target image; on the basis of the current image brightness value and the number of frames for convergence, adjusting the initial exposure parameters, so as to determine a first exposure value and a first gain value; and on the basis of a high frame rate and a low frame rate which correspond to the target image, performing frame rate switching and maximum exposure limit processing on the first exposure value and the first gain value, so as to determine a second exposure value and a second gain value, and on the basis of the second exposure value and the second gain value, controlling an image collection device to output a final image. The present application can be compatible with exposure in different environments while ensuring an exposure effect, and can improve the image exposure efficiency.

The invention provides an image exposure method and related equipment. In the method, the photometric strategy matched with the current scene is re-determined through the exposure value deviation of the current scene, so that more accurate photometric information is obtained, and after the photometric information is used for performing exposure processing on the image, the image with more appropriate brightness and better imaging quality is obtained, and the situation of large-area overexposure of the image is reduced. Specifically, as the exposure value deviation is used for measuring the difference between the exposure quantity required to be adopted when accurate exposure is carried out on a target image and the current exposure quantity, the larger the exposure value deviation is, the larger the possibility of inaccurate exposure (such as large-area overexposure) after exposure is carried out according to the current exposure quantity is, and the larger the exposure value deviation is, the larger the possibility of inaccurate exposure (such as large-area overexposure) is. At the moment, the photometry strategy should be adjusted in time to obtain more accurate exposure parameters and improve the final imaging quality.

The invention discloses a high-speed professional code scanning method based on a system. The method comprises the following steps: S1, selecting a proper visual angle and a high-frame-rate module camera and a light supplementing lamp module for professional code scanning according to the requirement of product motion tolerance; s2, calculating exposure values required by different frame rates of camera, and calculating a numerical value required by a current value of a light supplement lamp under the condition of required depth of field to ensure that an image of a preview interface is clear; s3, the system obtains the rawdata data of the camera by closing the ISP module; s4, the system application program obtains rawdata by controlling the output of a camera module and controlling the brightness of a light supplementing lamp, Y data of rawdata is used for detecting approaching of a person or an article, a screen is lightened to display a code scanning preview interface, and a captured data image of a two-dimensional code is sent to a code scanning library for data analysis; and S5, displaying an image result scanned by the code scanning library on a screen.

The embodiment of the invention discloses a shooting method and device, equipment and a storage medium, and the method comprises the steps: obtaining a target image pair obtained through shooting in the same scene, the target image pair comprises a long-exposure image and a short-exposure image, and the exposure value of the long-exposure image is greater than the exposure value of the short-exposure image; performing alignment processing on the background region and the foreground region of the target image pair to obtain an aligned short exposure image and an aligned long exposure image; and performing fusion processing on the aligned short-exposure image and the aligned long-exposure image to obtain a shot image. The alignment accuracy between the long exposure image and the short exposure image can be improved, and then the imaging effect of the shot image is improved.

An electronic device is provided. The electronic device includes at least one camera, memory storing one or more computer programs, and at least one processor communicatively coupled to the at least one camera, and the memory. The one or more computer programs include computer-executable instructions that, when executed by the at least one processor individually or collectively, cause the electronic device to identify an object area in a preview image, identify, based on identifying that the object region corresponds to a predefined subject, brightness of a background region from which the object region is excluded within the preview image, obtain, in a case that the brightness of the background region is greater than or equal to a reference value, one or more first frames through a first exposure value, based on receiving input of a user, obtain, after obtaining the one or more first frames, one or more second frames through a second exposure value greater than the first exposure value, generate an output image based on the one or more first frames and the one or more second frames, obtain, in a case that the brightness of the background region is less than the reference value, one or more frames through the first exposure value, based on receiving input of the user, and generate an output image based on the one or more frames.

The invention relates to the field of video conferences, and provides a method and device for adjusting a video picture, and the method comprises the steps: determining a target exposure value corresponding to a target image and / or a target white balance value corresponding to the target image, the target image being an image input by an image input device or a part of an image input by the image input device, and the target white balance value corresponding to the target image; the target image is a to-be-output image of the kth frame after the current frame of the image output device; and outputting the target image according to the target exposure value and / or the target white balance value in the kth frame after the current frame. According to the method, the exposure value and / or the white balance value and other parameter values of the switched target image are determined in advance before the video picture is switched, so that corresponding adjustment can be applied to the video picture according to the pre-determined parameter values at the same time when the video picture is switched; the switching of the video pictures and the adjustment of the corresponding parameters are carried out at the same time, so that the visual effect of the pictures is kept uniform when the pictures of the video conference are switched.

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.

The invention relates to a camera device, a cloud system and a camera device illumination compensation and optimization method based on a backlight scene, and the method comprises the steps: obtaining a scene image and an expected brightness value, and processing the scene image to obtain a current brightness value; calculating an exposure compensation value according to the current brightness value and the expected brightness value; adjusting parameters of camera equipment according to the exposure compensation value to obtain first camera equipment; obtaining a fusion multi-model and historical illumination data, and processing the historical illumination data by adopting the fusion multi-model to obtain an illumination estimated value; dynamically adjusting parameters of the first camera device according to the illumination estimated value to obtain a second camera device; acquiring multiple frames of images of the moving target in the target area with different exposure values; performing image fusion processing on all the multi-frame images to obtain a composite image; and obtaining a self-adaptive ambient light compensation strategy, and adjusting an exposure value of the second camera device by adopting the self-adaptive ambient light compensation strategy so as to process the synthesized image to obtain an optimized image.

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 electronic device includes an image sensor and one or more processors operable with the image sensor. The one or more processors are operable to dynamically and automatically select-exposure values using a camera response function for the image sensor for a sequence of images to generate an HDR image. The one or more processors can cause the image sensor to capture the sequence of images using the exposure values selected and can fuse the sequence of images to create the HDR image.

The embodiment of the invention provides an image enhancement method and device. The method comprises the following steps: acquiring a first image acquired in a preset exposure value range; inputting the first image into the model, and outputting a first illumination image and a first reflection image corresponding to the first image; inputting the first illumination image into a model, outputting a second illumination image corresponding to the first illumination image, inputting the first reflection image into the model, and outputting a second reflection image corresponding to the first reflection image; determining a difference illumination image according to the first illumination image and the second illumination image, and further determining a first spliced image; determining a second spliced image according to the first spliced image, the second illumination image and the first reflection image; and inputting the second spliced image into the model to obtain a second image corresponding to the first image. According to the technical scheme provided by the embodiment of the invention, the illumination image and the reflection image are separated and then spliced and reconstructed, and the brightness enhanced image is output, so that the effect of improving vision is achieved.

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.

The present application relates to an apparatus and method for automatic exposure using dual targets. An image acquisition apparatus is disclosed, comprising: an illumination subsystem, operative to project an illumination pattern; an imaging subsystem, comprising an image sensor array, and an imaging component operative to focus an image onto the image sensor array; a memory; and a processor, a memory including program code, the memory and the program code being configured to, using the processor, cause the apparatus to at least: acquire a first plurality of images based on a first control parameter, wherein the first control parameter comprises a first exposure value and at least one first other value; acquire a second plurality of images based on a second control parameter having a value different from the first control parameter, wherein the second control parameter comprises a second exposure value and at least one second other value, and wherein the acquisition of the first plurality of images is performed interleaved with the acquisition of the second plurality of images; and attempt to decode a decodable mark using one or more of the first plurality of images and the second plurality of images.

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.

Provided are an image processing method, apparatus, electronic device, and storage medium. The image processing method includes: acquiring a first image and a second image captured for the same scene, wherein a first exposure value of the first image is less than a second exposure value of the second image; determining a first image block in the first image; searching the second image for a candidate second image block corresponding to the first image block; and fusing the first image and the second image based on a similarity between the first image block and the corresponding candidate second image block to obtain a target image.

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 present disclosure is about an imaging method, device, electronic device and storage medium, including: in response to an imaging request, obtaining a basic image based on a default exposure value, wherein the basic image includes N blocks; obtaining a first exposure value and a second exposure value based on the brightness of a first area and a second area in the N blocks, wherein the first area includes M blocks with the largest brightness, and the second area includes M blocks with the smallest brightness, and the M is less than the N; obtaining a corresponding first image and a second image based on the first exposure value and the second exposure value; fusing the basic image, the first image and the second image to obtain a final image. The present application can adaptively calculate a suitable exposure value for different scenes, and improve the imaging effect of the final output image by fusing the corresponding exposure image and the basic image.

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 present invention relates to the field of camera detection technology, and specifically discloses a camera test method and system for marking papers, wherein the method comprises the following steps: S1, setting illumination environment parameters; S2, setting the auto focus of an image acquisition device to fixed focus; S3, simulating the marking speed at a slow, medium or fast speed; S4, setting the gain and exposure value of the image acquisition device; S5, setting the number of image storages and the image saving format, and setting the image processing flow; S6, marking papers at the marking speed set in step S3, and storing images according to the setting of step S5; S7, repeating steps S1-S6, capturing images in different scenes in real time under different illumination environment parameters, gain, exposure value and marking speed, and storing them in groups; S8, performing a clarity level analysis test on each group of stored images, and calculating the overall clarity level of each image in each scene. The technical solution of the present invention can effectively detect the blurring of the test paper.