102 results about "Brightness contrast" patented technology

The invention discloses an electromagnetic environment simulation method and system of a display module, a medium and a product, and relates to the field of electromagnetic variable measurement, and the method comprises the steps: receiving a test identification code inputted by a user, extracting a plurality of target scenes corresponding to the test identification code from a preset scene library, and generating a scene change sequence; determining a radio frequency interference source combination and a mechanical vibration parameter corresponding to the target scene; setting test parameters of the test time periods corresponding to the multiple target scenes, and generating a dynamic test sequence; receiving a key test scene marked by a user, and adjusting a test time period and test parameters corresponding to the key test scene to obtain a target test sequence; simulating an electromagnetic environment of the target display module, and recording simulation test parameters of the target display module; the simulation test parameters comprise display brightness, contrast and response time; and determining an electromagnetic compatibility evaluation result based on the target test sequence and the simulation test parameters. According to the invention, the accuracy of an electromagnetic compatibility test result can be improved.

The invention provides a self-adaptive nonlinear image enhancement method and system for a low-light scene of a mobile terminal, and relates to the technical field of image enhancement, and the method comprises the steps: carrying out the image preprocessing and noise reduction, and carrying out the graying and noise suppression of an input color image through a local variance self-adaptive algorithm; adaptive down-sampling is carried out, and the down-sampling proportion is dynamically adjusted according to the image resolution and the content complexity, so that the processing efficiency is improved; brightness adaptive enhancement is carried out, and the overall brightness of the image is rapidly improved by adopting an Otsu method and a lookup table; contrast nonlinear enhancement: enhancing image details and contrast in combination with a Laplace operator and local mean adjustment; and color restoration: restoring the resolution through bilinear interpolation and performing weighted fusion to realize natural color reconstruction. And finally, a high-quality image of which the brightness, the contrast ratio and the color are remarkably improved is output. According to the invention, the recognition accuracy and processing efficiency of the low-illumination image are improved.

The invention discloses a backlight source partition dimming control method, and belongs to the field of data security, and the control method comprises the following specific steps: I, analyzing the data features of an input image, recognizing a highlight motion region, and predicting and optimizing a current backlight partition dimming strategy; iI, adjusting a backlight area in real time according to the brightness, contrast and color change of the input content, and constructing a multi-level light diffusion coupling model after partition adjustment; the backlight partition can be adaptively adjusted according to the image content, the local contrast ratio and energy efficiency are improved, more uniform light distribution is achieved, the problems of halo and uneven brightness are reduced, the dimming precision is improved, the service life of a light source is prolonged, the light overflow effect of the partition edge is effectively reduced, and the picture layering sense is improved; the subjective image quality experience is effectively improved, the light efficiency utilization rate is improved, meanwhile, image quality and power consumption optimization can be considered, brightness adjustment better conforms to human eye visual characteristics, visual fatigue is reduced, and it is ensured that the optimal image quality is maintained under the lowest power consumption.

The invention provides a wafer defect detection method and system and electronic equipment, and relates to the technical field of machine vision, and the method fully utilizes the transformation relation between an imaging unit and an objective table in the wafer defect detection process to precisely splice strip images, thereby obtaining a high-precision wafer image, and improving the wafer detection precision. Meanwhile, an improved VAE model can be adopted to accurately obtain the defect area of the wafer to be detected from the brightness, the contrast ratio and the structural difference, high-precision recognition can be carried out on the fine defects, and therefore the problem that in the prior art, the fine defect detection effect is poor is solved.

The invention discloses a low-illumination image enhancement algorithm based on deep convolution, which is suitable for the field of image processing, and the core of the algorithm lies in an efficient noise reduction process and accurate decomposition of an illumination image and a reflection image. Comprising the following steps that firstly, a channel noise reduction module works cooperatively through multiple noise reduction strategies, noise in an image is effectively removed, and a foundation is laid for follow-up processing; then, the illumination image decomposition network and the reflection image decomposition network accurately separate the brightness information, texture and color information of the image based on a deep learning structure. And finally, by ingeniously fusing the illumination image and the reflection image, reconstructing a high-quality enhanced image, remarkably improving the brightness, contrast and details of the image, and meanwhile, retaining the natural color of the image. The algorithm has the advantages of being high in noise reduction capacity, accurate in illumination image decomposition, efficient in reflection image decomposition, good in enhancement effect and the like, and an effective and practical solution is provided for image enhancement under the low-illumination condition.

The invention relates to the technical field of defect detection, in particular to a connector wire harness crimping defect detection method based on image recognition, which comprises the following steps of: detecting the crimping defect of a connector wire harness based on image recognition; the method comprises the following steps: segmenting a crimping region image, extracting local brightness distribution characteristics, analyzing abnormal aggregation, detecting a port bare signal and contact uniformity, judging in combination with an area ratio, identifying a wiring harness crimping defect, and outputting a risk index. According to the method, image segmentation and regional brightness contrastive analysis are adopted, the recognition capability of micro-differences of all structures in a crimping region is refined, and a discrimination mechanism of spatial distribution anomaly aggregation is combined, so that hierarchical distinguishing of three-dimensional structure deformation, hidden defects and local anomalies, multi-stage reflection feature sorting and regional mutation detection are realized; the fine difference between metal exposure and coating material transition areas is effectively captured, and the contact distribution and stress consistency of the wire crimping part is reflected by combining pixel-level path tracking and gray uniformity comparison.

According to the water surface floating object identification method in the low-light environment provided by the invention, through an improved Yov7 target detection model, a Gold-YoLo feature fusion module, a CBAM-Enhanced Retinx-Net image enhancement network and an MPDIOU loss function, the detection precision of floating objects in the low-light environment is remarkably improved. The CBAM attention mechanism and the adaptive enhancement strategy effectively enhance the brightness, contrast and detail information of the image, and solve the problem of excessive enhancement of the traditional Retinex algorithm under low illumination. The Gold-YoLo module improves the feature extraction capability of the floating object through multi-scale feature interaction. The MPDIOU loss function optimizes the bounding box regression precision and improves the stability in a complex environment. Experimental results show that the method can effectively reduce the omission ratio and improve the small floater identification precision, and is suitable for real-time floater detection in the fields of water quality monitoring, ocean protection and the like.

The invention discloses a gamma curve generation method, a display panel driving method and a display device, and relates to the technical field of display. The gamma curve generation method comprises the following steps: determining a brightness contrast sensitive function based on a human vision model; a target gamma curve is determined based on the contribution brightness of the ambient light and the brightness contrast sensitive function. According to the method disclosed by the invention, the light sensing characteristic of the human eyes is considered, the influence of ambient light interference is dynamically compensated, and the brightness transmission process is optimized from the double dimensions of physical display and physiological perception, so that the resolution capability of the human eyes on the details of the display picture can be remarkably improved, and the visual experience of a user is improved.

The invention provides a paperless conference management system based on a cloud platform, and relates to the technical field of conference information management.The paperless conference management system comprises the steps that visual parameters such as the pupil light reflection rate and the pupil adaptation time of a user are collected, and a dynamic light adaptation curve is generated in combination with the brightness contrast of a conference environment; the curves are pushed to conference equipment through a cloud platform, so that customized screen brightness adjustment is realized; a personalized light adaptation scheme is provided according to the visual sensitivity index of the user, and meanwhile, the overall visual coordination in a multi-user environment is emphasized; therefore, not only is the conference experience optimized, but also the transient reading disorder caused by the light adaptation lag is obviously reduced, and the definition of information presentation and the fluency of the conference are improved.

The invention relates to the technical field of light control, and discloses a light control method and device based on environment self-adaption and a storage medium, and the method comprises the steps: obtaining a color temperature value of a light source, a chromatic value of the light source, environment brightness, a sampling moment and original light brightness; performing luminosity calculation according to the color temperature value, the chromatic value and the ambient brightness to obtain light intensity; carrying out brightness difference calculation according to the environment brightness and the sampling time to obtain a brightness change difference value; performing difference index calculation according to the brightness change difference value to obtain a brightness difference index value; performing intensity judgment according to the light intensity and the brightness difference index value to obtain an environment change degree value; according to the brightness change difference value and the environment change degree value, carrying out comfort calculation to obtain a light comfort value; and performing brightness comparison according to the original light brightness and the light comfort value to obtain an optimal light brightness adjustment value, and adjusting the light brightness according to the optimal light brightness adjustment value. The method can adjust the light state in time according to the change of the environment.

The invention discloses an electric spark monitoring method and system for a power distribution cabinet and a readable storage medium, and the method comprises the steps: intercepting a to-be-recognized image from a video stream, carrying out the brightness comparison of the to-be-recognized image and a preset standard image, if the brightness of the to-be-recognized image changes, obtaining a plurality of continuous frames of images of the to-be-recognized image in a preset time period before and after the to-be-recognized image, storing the image into a spark identification image set; performing light-emitting area identification on the to-be-identified image with the changed brightness to obtain an identification frame of the light-emitting area, and intercepting each frame of image in the spark identification image set according to the identification frame; and carrying out brightness identification on the intercepted local image, fitting a brightness change curve according to the brightness identification result of each local image, judging the cause of brightness change according to the brightness change curve, and determining whether to carry out electric spark early warning or not according to the judgment result. Whether electric sparks are generated or not is helped to be judged according to the change trend of the brightness change curve, so that the influence of an interference source on electric spark monitoring is eliminated.

The invention relates to the technical field of image recognition, in particular to a high-voltage breakdown point positioning method and system for insulation detection, and the method comprises the steps: obtaining a high-voltage breakdown original image and a reference image; based on brightness comparison and spatial neighborhood information, static reflection and dynamic noise are filtered out, and an arc reliable saturation region is identified; calculating a self-adaptive noise baseline of the pixel; iteratively searching outwards from the saturation region, and determining an annular glow region based on an adaptive noise baseline; and constructing a point diffusion glow model, executing nonlinear fitting by using glow region data, and obtaining a model center coordinate as a sub-pixel positioning result. According to the method, the saturation region is evaluated and positioned through double confidence coefficients, the glow region is constructed by using an adaptive noise baseline and iterative search, pixel coordinates are inversely solved based on a physical model, and the positioning problem caused by blinding of electric arc strong light is solved.

The invention is suitable for the technical field of computer vision, and provides a CNN-Transform-based low-light image multi-task recovery method and system, and the method comprises the steps: constructing a network comprising an encoder and a decoder, extracting local and global features through the encoder, and achieving the low-light enhancement and exposure suppression through the combination of grouping iteration convolution; and the decoder is used for processing the non-uniform motion blur by using a Decoder CNN-Transform module and a self-adaptive deformable cavity convolution block. Shallow layer features and deep layer features are fused between the encoder and the decoder through jump connection. And designing SmoothL1 loss and perception loss joint optimization, improving image brightness, contrast and details, and generating a high-quality result. According to the method, light weight and real-time performance are both considered, multiple degradation tasks can be processed in the same network, a high-quality image basis is provided for tasks such as target detection and semantic segmentation, and the overall quality of the image is effectively improved.

The invention provides a low-illumination power image enhancement method, which comprises the following steps of: performing Retinex decomposition on a low-illumination image by adopting an improved UNet network, and estimating an illumination component; performing gamma correction on the estimated illumination component to obtain a corrected illumination image; and performing element-by-element division operation on the original image and the corrected illumination component to obtain an enhanced reflection component as an output image, thereby realizing low-illumination image enhancement. According to the method, the brightness, contrast and color balance of the image can be automatically adjusted, the visual effect of the low-illumination image is effectively improved, and the purpose of performing low-illumination enhancement only by inputting the low-illumination power image without external data set training is achieved; the challenges of detail loss, color distortion and the like possibly faced by a traditional image enhancement algorithm when a complex illumination condition is processed are overcome, and the efficiency and the quality of image processing are remarkably improved.

The invention provides a multi-scale low-illumination image enhancement network model. In recent years, an image enhancement technology has been widely applied to the fields of criminal investigation, medical imaging and the like. However, an image shot in a low-illumination environment has the conditions of low brightness, low contrast, color distortion and the like, which not only can reduce the visual experience of a user, but also can interfere with scene analysis and cause difficulty to follow-up computer vision tasks such as target tracking, image fusion and the like. The problem that information such as multiple scales and channels is not considered in image enhancement is solved. A multi-layer feature extraction module is introduced, multi-scale features are extracted, meanwhile, information interaction of high and low frequency features is achieved, and the calculated amount is saved. And meanwhile, the receptive field is expanded by utilizing cavity convolution. And a residual structure is introduced into the multi-layer feature extraction module and finally, so that the problems of low-layer information loss and the like in the convolution process are solved. The multi-scale low-illumination image enhancement network model provided by the invention has effective technical means such as a multi-layer feature extraction module and cavity convolution receptive field expansion, so that the brightness, the contrast ratio and the color reduction degree of the low-illumination image can be greatly improved, and the problems of the image can be solved. In addition, the innovative technical model has a wide application prospect, can be widely applied to the fields of criminal investigation, medical imaging and the like, possibly and continuously promotes the development of an image enhancement technology, and brings deeper influence and value to research and practice in related fields.

The application discloses a kind of based on multiple exposure generation fusion's low-light image enhancement system, belong to low-light image enhancement technical field.System includes: adaptive multiple exposure adjustment module (AMEA), joint prediction gamma coefficient, linear modulation factor and compensation parameter, to input low-light image carries out nonlinear and linear combination transformation, generates multiple luminance, contrast and different color response multiple exposure candidate image;Multiple exposure fusion module (MEF), original low-light image and candidate image channel splicing are carried out, and preliminary enhancement image is obtained by fine-grained weighting fusion of channel fusion coefficient and introduction of perception compensation parameter correction;Color refinement module (CRM), using encoder decoder structure and introducing fast fourier representation in bottleneck layer, realize spatial domain and frequency domain joint modeling, carry out global color calibration and local detail optimization to preliminary enhancement image.The overall network uses lightweight design such as depth separable convolution and dense connection, inference is simple, and can be run in real time in edge device.The application generates by adaptive multiple exposure, structure constraint fusion and frequency domain refinement, effectively restores dark texture, suppresses over-enhancement and color deviation, improves visual naturalness and robustness in complex low-light scene.

Provided is a display lighting fixture configured to emit outgoing light from a light source toward the front of the lighting fixture through a light transmission control member, thereby making a partial area of the light transmission control member emit light, wherein, when the lighting fixture is not turned on, the partial area appears with an arbitrary color tone and when the lighting fixture is turned on, the partial area appears to emit light in a state in which a sufficient contrast difference is secured with respect to the other areas. The light transmission control member (40) is configured such that a first light-shielding film (44) and a second light-shielding film (46) having lower brightness than the first light-shielding film (44) are laminated on the rear surface (14b) of a light transmission cover (14) in this order via a colorless and transparent film (42). At this time, the first light-shielding film (44) is configured such that a plurality of first through-holes (44a) are formed in a region corresponding to the partial area (Z). The second light-shielding film (46) is configured such that a second through-hole (46a) is formed in a region corresponding to each of the plurality of first through-holes (44a).

1. The name of the design product: knob for display screen. 2. The use of the design product: adjustment knob for display screen of industrial control equipment, medical equipment, automobile central control system, etc., mainly used for adjusting screen brightness, contrast, volume and other parameters. 3. The design points of the design product: in the overall shape of the product. 4. The picture or photo that best indicates the design points: perspective view 1. 5. The rear view is the same as the front view, and the left view is omitted. The right view is the same as the front view, and the right view is omitted.

The invention relates to the technical field of image processing, in particular to a metacarpal and phalanx image processing method and device. The method comprises the following steps: acquiring an initial metacarpal and phalanx image, and performing brightness processing on the initial metacarpal and phalanx image to obtain a first metacarpal and phalanx image; performing contrast processing on the first metacarpal and phalanx image to obtain a second metacarpal and phalanx image; constructing a preset convolution kernel, and performing definition processing on the second metacarpal and phalanx image based on the preset convolution kernel to obtain a metacarpal and phalanx target image; and inputting the metacarpal and phalanx target image into the bone age recognition model, and outputting a bone age recognition result. According to the method, dynamic image enhancement optimization can be carried out on metacarpal and phalanx X-ray images of different devices and different qualities through brightness, contrast and definition processing, so that the processed metacarpal and phalanx target images can highlight morphological characteristics of epiphysis, the bone age recognition accuracy is improved, and the bone age recognition efficiency is improved. The problem of low bone age recognition accuracy caused by different image qualities in the prior art is solved.

This application provides a method for detecting pelvic tilt and lower limb posture abnormalities based on a body composition analyzer, comprising: acquiring original images of the subject's body shape through a multi-view camera array, adjusting brightness and enhancing contrast to obtain an image blur index, judging the degree of image blur by a preset brightness contrast threshold, evaluating the initial blur and setting a blur tolerance; if the initial blur exceeds the preset blur threshold, increasing the edge enhancement coefficient to a specified range to obtain an enhanced first image dataset; extracting the pelvic anterior tilt angle and left and right tilt offset from the smoothed angle data, quantizing them to obtain a feature vector, determining the pelvic tilt state category based on the feature vector, and obtaining a preliminary pelvic tilt state assessment result.

The present invention discloses a system and method for increasing the brightness and contrast of automotive pixel lights. The system includes an acquisition module, a current calculation module, a pixel light control module, and a pixel light module. The acquisition module is used to collect dynamic effect videos of the pixel lights for video data analysis and send grayscale values to the current calculation module. The current calculation module is used to receive and process the data sent by the acquisition module and send the processed results to the pixel light control module. The pixel light control module sends corresponding instructions to the pixel light module via SPI communication to adjust the register values of the corresponding chips to illuminate the corresponding pixel light LEDs at different brightness levels. The present invention provides a system and method for increasing the brightness and contrast of automotive pixel lights. While ensuring the performance of the automotive pixel lights, the brightness and contrast of the automotive pixel lights are increased, so that the pixel lights exhibit a better sense of layering and three-dimensional effects.

This invention belongs to the field of power monitoring technology and discloses a brightness balancing and regional smoothing fusion algorithm for power monitoring images. The method includes: image denoising, using mean filtering and median filtering to smooth the image; image registration, performing optimal matching on two or more images obtained from different sensors, at different times, or from different angles; and image region fusion, smoothly fusing images with different angles and brightness contrasts. This method is applicable to panoramic video monitoring systems. Designed specifically for the complex lighting and high electromagnetic interference characteristics of power operation sites, this invention effectively eliminates on-site noise through adaptive preprocessing, and achieves a balance between global brightness uniformity and local detail preservation through layered brightness balancing, solving the problems of incomplete brightness balancing and detail loss in power scenarios encountered by general algorithms.

The application relates to the technical field of regulation and control, and discloses an OLED display brightness-contrast combined regulation system based on artificial intelligence. The system collects OLED display brightness data and contrast data under the condition that the brightness is unchanged to construct a sample set, and pre-processes the OLED display brightness data collected in the sample set; meanwhile, a brightness regulation relationship model is established based on the pre-processed OLED display brightness data; meanwhile, a contrast-brightness combined regulation model is established based on the established brightness regulation relationship model and a contrast regulation algorithm; after the contrast-brightness combined regulation model is established, the contrast-brightness combined regulation model is optimized through a genetic algorithm, and the OLED display brightness-contrast combined regulation is realized based on the optimized contrast-brightness combined regulation model, so that the intelligence and efficiency of the OLED display brightness-contrast combined regulation are ensured.

The present disclosure relates to a model decimation method, device, medium and electronic equipment. The method comprises: dividing a model surface into a plurality of sub-regions; rendering the model and determining state information of each sub-region under multiple perspectives, wherein the state information comprises brightness, contrast and color; determining a decimation degree of each sub-region according to the state information; and performing a decimation operation in the corresponding sub-region according to the decimation degree. The sensitivity of the human eye to different brightness, contrast and different color wavelengths is different, and the decimation degree of each sub-region determined according to the state information can ensure the recognition accuracy of the human eye. By determining the state information under different perspectives, the accuracy of the decimation degree of each sub-region determined can be improved. In this way, the complexity of the model can be reduced while ensuring the visual experience of the user.

The application provides a complementary environment self-adaptive weighted image augmentation method. The method comprises the following steps: firstly, the brightness, contrast and saturation of a camera snapshot picture are parameterized; the light environment and the definition are analyzed, the data is normalized and is processed in grades, the obtained image parameters are substituted into a correlation function to calculate the image parameter gain weight, and another form of optimization augmentation is obtained by using shearing, rotating and translating to change the visual angle state; then, the two forms of optimization augmentation are combined to obtain the augmentation parameters of the picture, and the parameters are reversely converted to finally obtain the picture under various environment states. The method is simple in process and high in efficiency, and is a very promising method for assisting in improving the target recognition accuracy.

A method of providing a dark viewing mode with enhanced visual contrast includes evaluating the luminance and chroma of background colors, including highlight colors, of digital content prior to converting the digital content for the dark viewing mode to identify highlight colors having a luminance value that exceeds a luminance value threshold and a chroma value that exceeds a chroma value threshold. When a highlight color has luminance and chroma values that exceed the respective threshold values, the luminance value of the highlight color is clamped to a predetermined lower luminance value before converting the value for the dark viewing mode. The luminance value is converted for dark viewing mode by taking the opposite luminance value. As a result, the luminance value of the converted highlight color has a higher luminance value and greater luminance contrast with respect to the dark background in dark viewing mode.

A video processing method suitable for dynamically altering content of real-time video communications (for example, in video conferencing), comprises: providing a source (e.g. camera) video stream; presenting a user interface (UI) via which a user specifies a change to be applied to the source video stream; determining conditions for the change to be applied to the source video stream; analysing the content of the source video stream to determine when conditions for the change have been met, and the location within the source video stream to which the change is to be applied; and in response: processing the source video stream to dynamically apply the specified change at the determined location thereby to generate an output video stream; and displaying the output video stream. Determining the location may comprise determining video foreground (e.g. via facial recognition or movement detection) and background (e.g. by an AI segmentation module neural network, NN), with foreground and background changes being applied accordingly. When applying both foreground and background changes, these may be in dependence on, and in complement with one another, including changes in brightness, contrast, lighting, colour, hue, saturation and intensity.

The invention discloses a display adjustment method and device, electronic equipment and a computer readable storage medium. The display adjustment method comprises the steps that eye state information of a target object is acquired; wherein the eye state information at least comprises eye fatigue and a sight line position; in response to the fact that the eye fatigue degree is larger than a preset fatigue degree threshold value, display parameters of part or all of the display content at the sight line position are adjusted so as to reduce the eye fatigue degree; wherein the display parameters at least comprise at least one of the size, the style, the color, the brightness and the contrast ratio of the display content. Based on the mode, the display effect of the display equipment can be effectively improved, so that the user experience is improved.

The invention discloses a behavior analysis video key frame extraction method and device, a medium and computer equipment, and the method comprises the steps: reading a behavior analysis video picture frame by frame, and generating a full-white reference frame with the same size as a first frame; for a non-first frame, the difference between the non-first frame and the reference frame is quantized by using structural similarity indexes (from brightness, contrast and structural three-dimensional measurement), and a bucket index is determined; and judging whether a bucket corresponding to the bucket index has a candidate key frame, if not, storing a non-first-frame picture, and if yes, discarding the non-first-frame picture. And finally, sorting the candidate key frames in all buckets in an ascending order according to bucket indexes of the buckets to obtain a final key frame sequence, distinguishing'different pictures' by simulating human eyes, automatically skipping similar frames from continuous video frames, and screening out frames capable of representing picture core changes to compress data volume and retain key information. Key frame extraction can be carried out by considering behavior semantics and time sequence dynamic characteristics, so that the performance of a behavior analysis task is improved.

The invention discloses a high-brightness large-viewing-angle top-mounted POP laminating film for a display, and belongs to the technical field of display equipment. The high-brightness large-viewing-angle upper POP laminating film for the display comprises an upper prism structure layer, a composite adhesive layer, a lower prism structure layer and a back coating layer, the prism included angle between the upper prism structure layer and the lower prism structure layer is 50 + / -4 degrees; the vertex angle of the prism cross section of the upper prism structure layer is larger than that of the prism cross section of the lower prism structure layer. A non-orthogonal design is adopted, so that a'dark area 'with fastest light attenuation avoids a corner of a'rectangular viewing angle frame' specified by a TCO test, and the brightness / contrast in the whole rectangular frame is more uniform and controllable; meanwhile, the lower prism structure layer has a better light gathering effect, the vertex angle of the upper prism structure layer is larger, the optical diffusion effect is better, the brightness is more gentle along with attenuation of a visual angle, and the problem that the brightness uniformity of the POP laminating film is insufficient is directly solved.