145 results about "Pixel brightness" patented technology

The invention discloses an unmanned aerial vehicle camera exposure adjusting method and device, and relates to the technical field of image processing. Acquiring a real-time image and real-time illumination intensity shot by a camera of the unmanned aerial vehicle; calculating the pixel brightness value of the real-time image to obtain a brightness standard deviation; calculating the real-time illumination intensity to obtain an illumination intensity ratio; when the brightness standard deviation is greater than a brightness threshold value or the illumination intensity ratio is greater than an illumination threshold value, determining that the current shooting environment of the unmanned aerial vehicle is a strong light source, calling a first exposure adjustment strategy, and adjusting exposure parameters of the camera of the unmanned aerial vehicle based on the first exposure adjustment strategy; and when the brightness standard deviation is smaller than or equal to the brightness threshold value and the illumination intensity ratio is smaller than or equal to the illumination threshold value, determining that the current shooting environment of the unmanned aerial vehicle is a non-strong light source, calling a second exposure adjustment strategy, and adjusting the exposure parameter of the camera of the unmanned aerial vehicle based on the second exposure adjustment strategy. By implementing the provided technical scheme, the overall quality of the image is improved.

The embodiment of the invention provides an image processing method, electronic equipment, a storage medium and a program product. The image processing method comprises the following steps: determining the original pixel brightness of a current image according to image data to be processed; dividing the original pixel brightness into a plurality of data branches; obtaining a histogram corresponding to the original pixel brightness of each data branch; determining a tone mapping curve of each data branch based on a tone mapping model and the histogram; fusing the tone mapping curve of each data branch to obtain a fusion curve; obtaining target pixel brightness corresponding to the original pixel brightness based on the fusion curve; and determining target image data corresponding to the to-be-processed image data based on the original pixel brightness and the target pixel brightness. According to the scheme of the embodiment, automatic tone mapping is realized, and the flexibility and the adaptability of tone mapping are improved.

The invention discloses a lens smudginess monitoring method, computer equipment and a storage medium, and relates to the technical field of image processing, and the method comprises the steps: controlling an image collection device to shoot a plurality of images with different exposure degrees, and forming an image sequence from overexposure to underexposure; processing the image sequence, and respectively extracting a smudginess feature based on pixel brightness variance, a smudginess feature based on block brightness gradient change and a smudginess feature based on frequency domain enhancement; and fusing the extracted multiple smudginess features to generate smudginess area information. By collecting a multi-exposure image sequence and respectively extracting pixel brightness variance, block brightness gradient change and frequency domain enhancement features, light transmission abnormity, local response abnormity and edge texture features of a dirty area in exposure change are effectively captured, multi-dimensional features are fused, the accuracy, sensitivity and robustness of recognition of various pollutants are improved, and the recognition accuracy, sensitivity and robustness of various pollutants are improved. The problem of misjudgment of single-frame detection in a complex environment is solved, and reliable and comprehensive monitoring of lens smudginess is realized.

The invention relates to the technical field of image recognition, in particular to a printed circuit board defect detection method and system based on image recognition. The method comprises the following steps: collecting a multi-angle board image of a printed circuit board to be detected, and determining a highlight saturation region according to gray gradient information in the multi-angle board image; weighting and correcting the pixel value of the highlight saturation region by using the pixel brightness information of the neighborhood of the highlight saturation region, and generating an image to be analyzed; identifying silk-screen character information in the to-be-analyzed image, and generating a character bounding box according to the silk-screen character information; combining the gray distribution information and the edge direction information in each character bounding box to reconstruct a character coverage texture, and generating a to-be-detected image; and according to a preset circuit board defect library, matching defect features in the to-be-detected image, and generating a defect detection report according to a matching result. According to the invention, the detection efficiency is obviously improved, and the method is suitable for the production detection requirements of high-density and high-precision PCBs.

The invention discloses an AI linkage data system based on Internet of Things multi-source data fusion, and relates to the technical field of image recognition, and the system comprises a collection module which is used for collecting a real-time image of a fire, and selecting a suspected region with the brightness higher than a brightness threshold value in the real-time image; the preprocessing module is used for performing Gaussian filtering preprocessing on the suspected area; the method comprises the following steps: denoising a suspected region by dynamically adjusting Gaussian filtering parameters, calculating a brightness change rate of pixels on the inner and outer sides of an edge to obtain a gradient band width, dividing suspected region sub-blocks, extracting sub-block texture feature vectors by adopting a local binary pattern algorithm, and calculating a region overall texture entropy value by combining a region texture similarity matrix to obtain a region texture similarity matrix; the difference between the strong reflection light spots and real flames can be accurately recognized, the AI chip is prevented from misjudging the strong reflection light spots as newly added fire behaviors, then the linkage control module is prevented from mistakenly starting a spraying system in a non-fire behavior area, and damage of a large number of materials due to water stains caused by mistaken spraying is reduced.

For meeting the future demand of high quality yet economically feasible high dynamic range video program creation, the inventor proposes a method of in a video camera (201) setting a video camera capturing mode of specifying output pixel luminances in one or more graded versions of output video sequences of images, comprising: —an operator of the video camera moving to at least two positions (Pos1, Pos2) in a scene which have a different illumination compared to each other, and capturing at least one high dynamic range image (o_ImHDR) for each of those at least two positions of the scene; —a color composition director analyzing for each of the at least two positions the captured at least one high dynamic range image to determine a region of maximum brightness, and determining at least one of an iris setting, a shutter time, and an analog gain setting for the camera; —capturing for each position of one of the at least two positions (Pos1, Pos2) a respective master capturing (RW) using the at least one of an iris setting, a shutter time setting, and an analog gain setting for the camera, and keeping iris, shutter time and analog gain settings constant for later capturing in at least the corresponding position; —determining at least a respective first graded image (ODR) for the respective master capturing, which consists of mapping by a respective luminance allocation function (FL_M) of digital numbers of the master capturing to nit values of the first graded image (ODR), by the color composition director establishing a shape of such luminance allocation function; and —storing the respective luminance allocation functions (Fs1, Fs2) for the at least two positions, or parameters uniquely defining these functions, in respective memory locations (221, 222) of the camera.

The invention discloses a three-dimensional cultural relic 3D scanning ultra-high-definition enhancement method, device and equipment and a medium, and relates to the technical field of three-dimensional modeling, and the method comprises the steps: obtaining a light supplement enhancement image set, carrying out the dense matching strategy of the light supplement enhancement image set, and generating image pairs with consistent structures; minimum coverage rectangular region extraction is carried out on the image pairs with the consistent structures, and redundant complementation region pairs are generated; performing texture completion processing on the receptor region image in the redundant completion region pair to obtain a texture completion image set; and key image pairs are extracted based on the final texture completion image set, a matching point pair set is obtained through scale invariant feature transformation, and a matching point three-dimensional coordinate set is obtained through triangulation of each matching point pair. According to the invention, pixel-by-pixel brightness compensation and color equalization are carried out by combining the time-weighted exposure consistency index, so that illumination equalization adjustment of the region with uneven local exposure is realized.

The invention discloses a target state parameter determination method and device, a storage medium and an electronic device, and relates to the technical field of smart home, and the target state parameter determination method comprises the steps: obtaining a target face video stream of a target object outputted by an image collection module, obtaining a light supplementing state signal output after the light supplementing module supplements light to the space where the target object is located; determining a light supplement condition corresponding to each frame of image in the target face video stream according to the light supplement state signal, and determining a reference light intensity offset of a forehead area and a nose root area in each frame of image according to the light supplement condition corresponding to each frame of image; and according to the reference light intensity offset of the forehead region and the nose root region in each frame of image, pixel-by-pixel correction is performed on the pixel brightness value of each frame of image to obtain a corrected video stream, and a target state parameter of the target object is determined according to the corrected video. By adopting the technical scheme, the problem that the state parameters of the target object cannot be accurately determined is solved.

An image processing apparatus comprises a receiver (401) receiving an image comprising first pixel brightnesses encoded in accordance with a perceptually uniform Electrical to Optical Transfer Function, EOTF. A converter converts this to second pixel brightnesses encoded in accordance with an EOTF representing a logarithmic mapping from optical light values to the second pixel brightnesses and an image processor circuit (411) applies a brightness adjustment processing to the second pixel brightnesses. The converter (410) comprises a first converter (601, 605) generating intermediate pixel brightnesses applying a logarithm function to the first pixel brightnesses A second converter (603) generates intermediate pixel brightnesses by applying a second logarithm function to an output value of the perceptually uniform EOTF for the first pixel brightness divided by a divisor equal to the first pixel brightnesses raised to a power of an exponent having a value exceeding 1. A combiner generates the second pixel brightnesses by combining the intermediate pixel brightnesses.

The present application relates to the technical field of image understanding, in particular to a page element semantic analysis method based on visual language enhancement; a dense optical flow field and inter-frame state transition rule joint analysis is performed on an acquired visual image frame sequence, a two-dimensional spatial region in which a local rendering state is abnormal is identified, and a space-time feature matrix is constructed; a space-time feature matrix and an edge pixel brightness attenuation gradient and a visual darkening feature matrix of a neighborhood environment are extracted, and a pseudo-depth blocking parameter is identified; foreground multi-modal features inside the space-time feature matrix and background multi-modal features of an external environment are extracted, and a relative entropy divergence in a multi-modal semantic space is calculated; a multi-dimensional joint determination model is constructed using the pseudo-depth blocking parameter and the relative entropy divergence, and whether the spatial region is an interference pop-up window is identified; when the identification result is an interference pop-up window, warning data containing attribute information of the interference pop-up window is output, and an adaptive locking mechanism of interface analysis state is triggered.

A grayscale compensating method, a displaying driving method, an apparatus, a system, a chip and a medium. The grayscale compensating method includes: determining compensation coefficients corresponding to sub-pixels in a display panel, wherein the compensation coefficients are for characterizing compensation modes and compensation magnitudes of brightness compensations to the sub-pixels, wherein the compensation modes include a mode of increasing a brightness and a mode of reducing a brightness; and based on the compensation coefficients, compensating for the to-be-displayed grayscale values of the plurality of sub-pixels, to reduce a difference in emitted-light brightnesses of the plurality of sub-pixels. The display panel includes a first displaying region block and a second displaying region block, the compensation coefficients corresponding to the sub-pixels within the first displaying region block are greater than 0, and the compensation coefficients corresponding to the sub-pixels within the second displaying region block are less than 0.

Provided is a display module, including a display panel and a timing controller. The brightness adjustment module in the timing controller is connected to the light strip control module, and the light strip control module in the timing controller is connected to the light strip; the brightness adjustment module is configured to adjust brightness of pixels of a first video frame to be played to acquire a second video frame and a total pixel brightness of the second video frame; the brightness adjustment module is further configured to drive the display panel to display the second video frame and send the total pixel brightness to the light strip control module; and the light strip control module is configured to control an emission color and brightness of the light strip based on color information and the total pixel brightness.

The present disclosure relates to glare mitigation using image contrast analysis for autonomous systems and applications. In various examples, a contrast value corresponding to pixels of one or more images generated using one or more sensors of a vehicle can be computed to detect and identify objects that trigger glare mitigation operations. A pixel luminance value is determined and used to compute a contrast value based on comparing the pixel luminance value to a reference luminance value based on a set of pixels and corresponding luminance values. A contrast threshold can be applied to the computed contrast value to identify glare in the image data, thereby triggering a glare mitigation operation so that the vehicle can modify a configuration of one or more illumination sources to reduce the glare experienced by occupants and / or sensors of the vehicle.

The invention relates to the technical field of intelligent driving, and discloses a lane changing control method for automatic driving, which comprises the following steps: obtaining a visual image of the surrounding environment of a vehicle; dividing the visual image into a plurality of brightness layers according to the pixel brightness values, and respectively executing image processing operations corresponding to the pixel brightness values on different brightness layers to obtain a plurality of enhanced visual images; respectively inputting the plurality of enhanced visual images into a target detection model, and identifying whether a barrier vehicle exists on the side of the vehicle; and generating a lane changing control instruction according to the identification result, and controlling the vehicle to execute lane changing operation according to the lane changing strategy. According to the invention, the recognition accuracy of the obstacle vehicle can be improved, so that the accuracy of the automatic driving chip for controlling the vehicle to perform lane changing operation is improved.

Provided are a display module and a preparation method therefor, and a display device, and belong to the technical field of display. In the display module, a flexible circuit board located in a non-display area on a side of a display area away from a light-emitting surface of a bending area has a slotted area exposing the non-display area. A driving chip is located in the slotted area and is spaced apart from the flexible circuit board. In addition, a heat-conducting structure is filled in the space between the driving chip and the flexible circuit board. In this way, the driving chip can be better cooled, and the problem of abnormal pixel brightness at the position corresponding to the driving chip due to the driving chip being too hot after long-time work can be avoided, and thus the problem of display abnormality such as yellowing of the display panel in the display module can be avoided, that is, the display effect of the display panel can be ensured to be good.

To provide a stereoscopic image display device capable of controlling average luminance of pixels in a display period without depending on a position in a line sequential direction.SOLUTION: A stereoscopic image display device 10 includes a liquid crystal display panel 22, a variable focus lens unit 40, and a control unit 80. The liquid crystal display panel 22 displays the first image and the second image that are sequentially displayed by the line sequential scanning, and emits the display light PL1 of the first image and the display light PL1 of the second image. The variable focus lens unit 40 switches the focal distance with respect to the display light PL1, and forms the first image and the second image as virtual images on the first display surface 102 and the second display surface 104, respectively. The control unit 80 forms a display period for displaying each of the first image and the second image from a plurality of frame periods, and controls the luminance of the pixels of the liquid crystal display panel to the minimum luminance of the pixels in the last frame period of the plurality of frame periods forming the display period.SELECTED DRAWING: Figure 1

The application discloses a kind of self-adapting low-light image enhancement method, system, terminal equipment and medium, it is related to image processing technical field.The method includes: obtaining to be enhanced image, determines each pixel brightness value;Brightness value is handled by parameterization processing function, generates complementary information;Complementary information and brightness value are used to construct intuitionistic fuzzy image to express the uncertainty of pixel value;Based on the global statistical characteristics of image, contrast enhancement is carried out to intuitionistic fuzzy image, and preliminary enhanced image is obtained;With the optimization target of maximizing the information content or perceived quality of enhanced image, the adjustable parameter of parameterization processing function is iteratively optimized, and the optimal parameter enhanced image is obtained;It is converted from fuzzy domain back to spatial domain, and the final enhanced image is obtained.The application can improve the contrast of low-light image while retaining structural details, enhance visual quality, and has strong adaptability and high computational efficiency, and can be widely applied to imaging system under complex lighting conditions.

The invention discloses a time schedule controller with brightness compensation, a display and a pixel brightness compensation method. The pixel brightness compensation method comprises the following steps of: obtaining a current gray-scale value of a pixel in the display, accumulated operation time of the display, a current temperature and a current display brightness value; determining a first gain value and a third gain value according to the current gray-scale value, the current temperature and the accumulated operation time; generating a second gain value according to the current display brightness value; and converting the current gray-scale value of the pixel into a target gray-scale value through the first gain value, the second gain value and the third gain value. Therefore, the aging speed of the pixels can be slowed down, and the brightness of the pixels can still be maintained within the brightness range after the display time of the display panel reaches the target accumulated operation time.

The invention discloses a driving method of a display panel, a display device and a driver thereof, and belongs to the technical field of display. The driving method of the display panel comprises the following steps: driving the pixel driving circuit by adopting a first driving mode in a first time period (F1) (S110); driving the pixel driving circuit (S120) in a second driving mode in a second time period (S1); wherein the first time period (F1) is a time period for displaying the first frame or multiple frames of pictures; the second time period (S1) is after the first time period (F1); and when the pixel driving circuit adopts the first driving mode to drive the sub-pixel in the second time period (S1), the sub-pixel brightness is greater than the sub-pixel brightness when the pixel driving circuit adopts the second driving mode to drive the same sub-pixel of the same gray scale in the second time period (S1). The display panel and the display device applying the driving method have better display quality.

The invention relates to the field of device fault management, in particular to a fault prediction and management system for an overdue service relay protection device, and the system comprises a device monitoring unit which is used for determining the type of a target device, and determining whether to adjust the fault prediction trigger reference from the same-batch image difference degree to a review image difference degree based on the device category difference value; the data analysis unit is used for judging whether fault analysis needs to be carried out or not based on a fault prediction triggering benchmark corresponding to a benchmark analysis condition, and judging whether the index revision instruction comprises acquisition frequency increasing processing or not and whether manual early warning is carried out or not according to a response control delay degree difference value corresponding to one type of devices; the fault analysis unit is used for judging whether aging fault early warning is carried out or not and whether comparative analysis is carried out or not according to the gray level change reference value and the column pixel brightness difference value corresponding to the first-class device, and judging whether the index revision instruction comprises interface increment acquisition or not; according to the invention, the fault monitoring automation efficiency is improved.

The invention provides an ambient brightness detection method and an ambient brightness detection device, and the method can determine the initial brightness value of a target environment according to the pixel brightness value of each color channel in a target image and the brightness weight corresponding to each color channel, and can determine the initial brightness value of the target environment according to an infrared interference coefficient and the pixel brightness value of an infrared channel. According to the method, the infrared interference brightness value is determined according to the initial brightness value of the target image, the actual brightness value of the target environment is determined according to the initial brightness value and the infrared interference brightness value, and the situation that the actual brightness value of the target environment is inaccurate due to the influence of the infrared light is avoided by removing the influence of the infrared light in the target image on the pixel brightness value of each color channel. And the accuracy of detecting the actual brightness value of the target environment is improved.

The invention relates to the technical field of optical three-dimensional reconstruction, in particular to a three-dimensional fingerprint microstructure reconstruction method and system based on illumination self-calibration and sparse integration, and the method comprises the following steps: constructing a multi-light-source imaging system, and arranging a standard spherical reflector in an imaging field of view to perform illumination direction self-calibration; performing multi-angle illumination acquisition on the surface of the finger to obtain a finger image sequence under multi-frame illumination variation; a reconstruction area of the finger image sequence is limited; carrying out vectorization solution on the pixel brightness change of the reconstruction region under the multi-illumination condition, and obtaining a global continuous normal gradient field based on the surface normal vector and reflectivity of each pixel; the normal gradient field is converted into a depth constraint equation, sparse matrix optimization and least square integral solving are adopted, and global consistent reconstruction of the depth map is achieved. According to the method, high-fidelity three-dimensional reconstruction of the finger surface microstructure is realized through an integrated technical framework of physical calibration, photometric solution and sparse integration.

The invention discloses a PMOLED voltage compensation method based on big data, relates to the technical field of voltage compensation, is used for solving the problem that compensation voltage is disorderly accumulated and amplified in the long-term operation process, and calculates the pixel brightness decay rate by collecting driving voltage data and brightness data of display pixels in a preset evaluation period. Voltage mismatched pixels are screened in combination with the driving voltage deviation condition, the lightening duty ratio and position information of the voltage mismatched pixels are collected, pixel aging areas are divided on the basis of the use intensity consistency and the spatial neighborhood aggregation relation, a historical database is further accessed, the historical compensation times of all the pixel aging areas are counted, and the compensation retention coefficient is calculated; compensation behavior intensity and compensation effect stability are quantified, a historical compensation coefficient and a compensation retention coefficient are fused to generate a mismatch correction coefficient, and the driving voltage compensation amount is corrected in combination with a voltage compensation reference, so that the stability, controllability and long-term display consistency of a voltage compensation process are improved.

This invention provides a display panel, its fabrication method, and a display device. The display panel includes a substrate, a plurality of sub-pixel units formed on the substrate, and a plurality of MIMIM dual resonant structures. Each sub-pixel unit includes an oxide thin-film transistor. The MIMIM dual resonant structure includes a first metal layer, a first insulating layer, a light-absorbing layer, a second insulating layer, and a second metal layer sequentially stacked along a direction away from the substrate. The light-absorbing layer absorbs incident blue light. A first gap region is formed between the blue light sub-pixel unit and its adjacent sub-pixel unit. The MIMIM dual resonant structure is disposed within the first gap region and located between the blue light sub-pixel unit and the oxide thin-film transistor of its adjacent sub-pixel unit. The display panel of this application solves reliability problems such as progressive bright spots and peripheral pixel brightness caused by blue light being added to the oxide thin-film transistor.

The invention discloses a method and system for extracting the brightness of sub-pixels of a display screen and electronic equipment. The method and system are used for improving the precision of extracting the brightness of the sub-pixels of the display screen. The method for extracting the sub-pixel brightness of the display screen comprises the following steps: acquiring a first shot image and a second shot image; performing color channel separation on the second shot image to obtain a separated image; calculating a center coordinate of each sub-pixel in the separation image, and storing the center coordinates to the row coordinate image and the column coordinate image; performing two-dimensional mean filtering on the row coordinate image and the column coordinate image, and performing arrangement to obtain corrected coordinates of sub-pixels of a non-edge region; performing linear interpolation on the corrected coordinates of the sub-pixels of the non-edge region adjacent to the sub-pixels of the edge region to obtain the corrected coordinates of the sub-pixels of the edge region; obtaining a two-dimensional Gaussian function expression corresponding to each sub-pixel according to the corrected coordinates of the sub-pixels and a sub-pixel partitioning algorithm; and calculating the precise brightness corresponding to each sub-pixel by using a weighted estimation algorithm.

The present application relates to a method for compensating temperature and a display apparatus. The method for compensating temperature may include: setting an on-pulse width of an emission signal according to luminance of pixels based on optical compensation; generating first and second linear function graphs by measuring luminance according to the on-pulse width of the emission signal set at first and second temperatures; generating a target linear function graph relating the on-pulse width of the emission signal set at a target temperature and luminance based on the first and second linear function graphs; and adjusting the on-pulse width of the emission signal set based on the target linear function graph.

A driving method for a display panel, and a display apparatus and a driver therefor, which belong to the technical field of display. The driving method for a display panel comprises: during a first time period (F1), using a first driving mode to drive pixel driving circuits (S110); and during a second time period (S1), using a second driving mode to drive the pixel driving circuits (S120), wherein the first time period (F1) is a time period in which first one or more image frames are displayed; the second time period (S1) comes after the first time period (F1); and the sub-pixel brightness when the pixel driving circuits use the first driving mode during the second time period (S1) to drive sub-pixels is greater than the sub-pixel brightness when the pixel driving circuits use the second driving mode during the second time period (S1) to drive the same sub-pixels at the same gray level. A display panel that applies the driving method, and the display apparatus have better display quality.

A method for operating an image projector, includes: determining a brightness variation coefficient regarding an input pixel to a gradation conversion model and an output pixel corresponding to the input pixel; obtaining a projection plane deviation correction coefficient reflecting a characteristic of a projection plane obtained from an at least one distance sensor; and generating an output image to be projected by the image projector onto a projection region of the projection plane by correcting a brightness of a pixel of an input image, based on at least one of the brightness variation coefficient or the projection plane deviation correction coefficient.

The embodiment of the invention provides a time sequence controllable non-contact deformation measuring method and device, computer equipment and a medium, and relates to the technical field of optical measurement experiment mechanics, and the method comprises the following steps: determining time sequence control parameters, internal and external parameters and a coordinate system transformation matrix of an industrial camera; collecting a sequence diagram of the surface of the measured object based on the trigger signal, triggering the light source to provide illumination to generate a first data stream, and controlling the event camera to output a second data stream of pixel brightness change of the surface of the measured object; analyzing the second data stream, and dynamically controlling image acquisition of the industrial camera according to the instantaneous motion state parameters; and carrying out digital image correlation matching and three-dimensional reconstruction to obtain a high spatial resolution deformation field of the measured object at the sampling moment, and carrying out event-driven three-dimensional reconstruction to generate a three-dimensional deformation measurement result. According to the scheme, the contradiction between clear imaging and long-time continuous acquisition of the high-speed moving object is solved through sequential control parameters combining short exposure and long interval.

The embodiment of the invention provides an image quality guarantee method, a controller, a system and a storage medium, and relates to the technical field of image processing. The method comprises the following steps: determining an illumination area of the phase control lamp; wherein the illumination area comprises at least two illumination sub-areas; shooting the illumination area to obtain an initial image, and obtaining the pixel brightness of the initial image; performing target detection on the initial image to obtain target information of at least two targets; wherein the target information comprises a coordinate range and a target type; performing brightness calculation according to the coordinate range of each target and the pixel brightness of the initial image to obtain weighted brightness of each target; and if the brightness of the illumination sub-area where the target is located is different from the weighted brightness of the target, adjusting the brightness of the illumination sub-area through the phase control lamp. The embodiment of the invention can improve the image shooting quality.