167 results about "Image quality degradation" patented technology

The invention relates to the technical field of embankment inspection, and provides an embankment inspection robot environment detection method and system, which can determine a motion blur direction, extract linear features of an image and determine a linear feature direction by acquiring an embankment image and performing motion blur judgment when the image has motion blur. And on the basis, according to the geometrical relationship between the motion blur direction and the linear feature direction, whether the linear feature is the embankment crack or not is judged. By using the motion blur direction as a judgment basis, a pseudo crack and a real crack caused by motion blur can be effectively distinguished, and early-stage potential safety hazard detection omission caused by image quality reduction is avoided, so that the accuracy and the reliability of embankment crack detection are remarkably improved, and the continuity and the effectiveness of an embankment inspection task are guaranteed.

The invention discloses an HDR dynamic tone mapping method and system. The HDR dynamic tone mapping method comprises the following steps: S1, acquiring an ambient light parameter, a user interaction parameter and a display equipment state parameter which are acquired in real time; s2, performing dynamic parameter fusion on the ambient light parameters, the user interaction parameters, the display equipment state parameters and video content metadata to generate dynamic metadata; s3, generating a self-adaptive tone mapping curve based on the dynamic metadata, wherein the self-adaptive tone mapping curve adjusts a brightness mapping relation through an equipment aging compensation parameter; and S4, measuring the error between the actual display image quality and the theoretical value, and correcting the compensation parameter in the dynamic parameter fusion according to the error value. According to the method, various parameters are collected in real time, the adaptive tone mapping curve is generated through dynamic fusion, and errors are corrected in combination with closed-loop feedback, so that the problem of image quality degradation caused by environment change, equipment aging and user interaction difference in the traditional HDR technology is solved, and high-precision and adaptive dynamic display optimization is realized.

The invention relates to the technical field of target tracking, provides a low-light environment target tracking method based on image channel enhancement and dynamic attention feature matching, and solves the problems of difficult feature extraction, mismatching, insufficient real-time performance and the like caused by image quality degradation in a low-light and resource-limited scene in a traditional method. The method comprises the following steps of: distributing enhanced brightness and chrominance channels by adopting a YUV spatial separation mechanism, realizing color restoration and noise suppression, and forming high-quality tracking input through cross-channel re-calibration; search calculation is accelerated based on a dynamic Transform architecture, and the feature matching capability is enhanced through cross attention fusion and interaction of global features. According to the method, an end-to-end collaborative architecture is adopted, image enhancement and target tracking are unified, and the method has the advantages of stable feature alignment capability and lightweight calculation design, and is suitable for application scenes such as unmanned aerial vehicle night cruise, security monitoring and edge calculation terminals with high requirements for real-time performance and robustness.

The invention discloses an underwater image degradation diffusion self-supervised enhancement model and a building and training method, and relates to the technical field of underwater image enhancement. The invention provides an underwater image degradation diffusion self-supervised enhancement model and a building and training method for the problem of target detection performance reduction caused by underwater image quality degradation, the model built by the method is combined with the differential thought of a Koschmieder illumination scattering degradation model and a diffusion model, the degradation process of a real underwater environment is simulated, and the target detection performance is improved. Self-supervised training data is generated, dependence of a traditional method on manual annotation data is avoided, image features are extracted through a ResNet50 backbone network, global background light and transmission rate are predicted in parallel, a clear image is reversely recovered by using a physical formula, transmission rate consistency loss, background light consistency loss and reconstruction loss are also proposed, an unsupervised optimization target is constructed, and the self-supervised training data is obtained. And the accuracy and stability of model training are ensured.

The invention provides an electricity meter reading method and device based on image recognition, equipment and a medium, and relates to the technical field of electricity charge settlement, and the method comprises the steps: obtaining the image information and environment information of an electricity meter; obtaining an image recognition reliability score; obtaining a fused image data set; carrying out image structure identification processing based on the fused image data set, and constructing an ammeter reading area model; performing integration and association reasoning on the fused image data set, the identification reliability score and the ammeter reading area model based on a preset graph neural network identification model to generate a comprehensive identification view; and obtaining an electricity meter reading identification result. According to the invention, through introduction of fusion processing of image information and environment information, a graph neural network identification model and a time sequence verification mechanism, multi-dimensional intelligent identification of ammeter reading is realized. Therefore, the electric meter identification accuracy and robustness in a complex scene are effectively improved, and the misreading rate caused by shooting environment interference, electric meter shielding or image quality reduction is remarkably reduced.

The invention relates to a coal mine scraper conveyor self-adaptive deviation correction method and system based on visual recognition, and relates to the technical field of coal mine conveying deviation correction, and the method comprises the steps that original time sequence image streams of a scraper chain and a ledge area of a target scraper conveyor are continuously obtained through an anti-explosion visual collection device; constructing an image cleanliness evaluation model, carrying out frame-by-frame analysis on the original time sequence image flow, and calculating and outputting a corresponding image cleanliness coefficient; dynamically configuring a grading decision-making mechanism by combining real-time working condition parameters of the target scraper conveyor based on the image cleanliness coefficient; and based on the corrected decision threshold and the image cleanliness coefficient, activating a corresponding decision mode, generating a deviation correction control quantity adaptive to the current working condition, and driving to execute adaptive deviation correction. The method solves the problems that a traditional correction method is difficult to deal with a coal mine high-dust environment, and false alarm, missing alarm and control disorder are likely to occur due to image quality degradation.

The invention discloses a bridge side falling behavior sensing method and system suitable for low-quality visual conditions, and belongs to the technical field of behavior sensing. The method comprises the following steps: judging whether weak light and / or blur exists in a bridge side scene image according to a calculated TBV index of the bridge side scene image; the bridge side scene image with the weak light is input into the D2A-DCE model, the bridge side scene image with the blurring is input into the improved NAFNet model, the bridge side scene image with the weak light and the blurring is sequentially input into the D2A-DCE model and the improved NAFNet model, and a bridge side scene enhanced image is output; inputting the bridge side scene enhanced image into the improved CMFF model, and outputting a fusion feature map; and inputting the fusion feature map into a pre-constructed Bridge-SIDE Net model, and outputting a bridge side falling behavior sensing result. According to the invention, the problems of poor bridge side behavior identification accuracy, false report and missing report in an image quality degradation environment can be solved.

The invention discloses a hierarchical image rain removal method based on enhanced rain stripe perception. According to the method, for the problem of image quality degradation in a rainy day environment, an enhanced rain stripe perception feature enhancement module E-RAFEM is designed, two core components of a learnable direction filter and rain stripe texture modeling are integrated, and the directivity and linear texture features of rain stripes are accurately modeled. An encoder-decoder backbone network based on Transform is adopted, and E-RAFEM modules are embedded in the first three encoding levels, so that a hierarchical rain stripe processing mechanism is formed. A progressive multi-scale fusion mechanism is introduced, multi-scale features are captured through convolution kernels with different expansion rates, and gradual integration is carried out in a progressive mode to avoid information loss. According to the enhanced rain stripe sensing network ERA-Net provided by the invention, high-quality recovery of images under various complex rainy day conditions is realized through accurate rain stripe feature modeling and hierarchical processing strategies.

The invention relates to the technical field of goods identification of a laneway stacker, in particular to a goods identification method and system of the laneway stacker, and the method comprises the following steps: collecting a goods image; performing quality evaluation on the cargo image, and judging the degradation type of the cargo image; based on the degradation type, performing adaptive image enhancement processing on the cargo image to obtain an enhanced image; generating a feature descriptor having resistance to the degradation influence of the cargo image; inputting the enhanced image and the feature descriptor into a deep learning model for cargo identification to obtain an identification result and confidence; and performing identification process control according to the confidence coefficient. According to the method, the recognition accuracy and stability of the deep learning model can be improved, so that the problems of recognition failure and efficiency reduction caused by image quality reduction are effectively solved.

The invention relates to a packaging structure of a micro display chip and a display device, and the packaging structure comprises a substrate, the surface of which comprises a display area and a non-display area; the electrode pads are located in the non-display area; and a plurality of through hole plugs located in the substrate, wherein one end of each through hole plug is electrically connected with the electrode pad. In AR near-to-eye display application, the light absorption structure can effectively absorb stray light returned from components such as an optical waveguide and the like, secondary specular reflection of the metal electrode pad on the non-display area is avoided, ghosting is prevented from being formed, and the imaging contrast ratio and the picture purity are remarkably improved. The light absorption structure is integrated in the packaging structure, and a stray light feedback path is cut off through a physical means on the premise that normal light emitting of a display area and electrical connection of an electrode pad are not affected, so that the optical performance of the micro-projection ray machine is improved, the final display effect is guaranteed, and the display effect is improved. Therefore, the technical problem of image quality degradation caused by high reflectivity of the non-display area is effectively solved.

The invention relates to a continuous zoom cycle-scan television system based on a zoom collimation scanning field lens structure and application thereof. Light reflected by a target image horizontally passes through the focusing group, the zooming group, the compensation group and the collimating field lens group in sequence along an optical axis, is obliquely reflected by 45 degrees by the galvanometer group and then vertically passes through the fixed group, is obliquely reflected by 45 degrees by the reflector group again and then horizontally passes through the optical filter switching group leftwards, and finally is imaged on a detector photosensitive surface of the high-definition imaging module; and the high-definition imaging module carries out photoelectric conversion and image processing and then outputs a high-definition video or image. According to the invention, the problem that the image quality is reduced during the swing scanning of the peripheral scanning television is solved, the turn-back of the light path is realized through the cooperation between the galvanometer group and the reflector group, and the galvanometer group rapidly swings the reflector to control the direction of the light beam to realize image motion compensation, so that the peripheral scanning detection function is realized. The system can be used for panoramic dead-corner-free monitoring and detailed reconnaissance of key targets, and is widely applied to the fields of intelligent monitoring, military reconnaissance, automatic driving and the like.

To provide a liquid dispensing device that can reduce the risk of degrading the image quality formed on the medium and the risk of impairing convenience. [Solution] A liquid dispensing device having a sink circuit that switches the impedance value between a first wiring through which a reference voltage signal supplied to the other end of a first piezoelectric element and the other end of a second piezoelectric element propagates, and a second wiring through which a signal with a lower potential than the reference voltage signal propagates, according to the determination result of the state of a plurality of dispensing units in a state determination circuit, the sink circuit having a first mode in which the impedance value is a first impedance value, a second mode in which the impedance value is a second impedance value smaller than the first impedance value, and a third mode in which the impedance value is a third impedance value smaller than the second impedance value.

To provide an imaging device that suppresses deterioration in image quality due to difference (OB level difference) between an output of an OB region and that of an effective region.SOLUTION: When imaging sensitivity of an imaging element is changed in a third frame period between a first frame period and a second frame period, an imaging device corrects a first signal output from a first pixel using a second reference value obtained from a second signal output from a second pixel in a fourth frame period in each frame period from a fourth frame period after the third frame period to a fifth frame period when a second period longer than a frame period has elapsed. In a case where imaging sensitivity of the imaging element is not changed, in each frame period from a sixth frame period after the second frame period to a seventh frame period when the third period longer than the frame period has elapsed, a first signal output from the first pixel is corrected using a third reference value obtained from the second signal output from the second pixel in the sixth frame period.SELECTED DRAWING: Figure 5

The invention provides a port container loading and unloading positioning method, system and equipment and a medium, and belongs to the technical field of port automation and machine vision positioning. The method comprises the following steps: acquiring a container surface image and synchronous sling motion data; the jitter amplitude is evaluated, the image is combined to analyze the illumination condition, and the multispectral image is adaptively selected or fused to generate an anti-interference image; angular point coordinates are extracted, the angular point coordinates and motion data are input into a vision-inertia tight coupling optimization model together for state estimation, and the real-time pose is solved; driving a lifting appliance-load dynamic model by using the motion data, and predicting pose deviation generated by inertia and swinging in the future; and the feedback control quantity based on the real-time pose and the feed-forward compensation quantity based on the prediction deviation are fused, and an accurate control instruction for driving the lifting appliance is generated. The problems of image quality degradation and feature loss caused by strong light, weak light and sling shaking are solved, and high-precision and high-robustness container positioning and alignment in a complex dynamic environment are achieved.

The invention relates to an in-area image acquisition device, which comprises a mounting box, and a first rotating shaft and a second rotating shaft which are rotatably connected to the mounting box, the lower end of the second rotating shaft is fixedly connected with a camera, the lens surface of the camera is rotatably connected with a third rotating shaft, and the third rotating shaft is fixedly connected with a dust removal plate. The side wall of the dust removal plate is attached to the surface of a lens of the camera, a first transmission assembly is arranged between the first rotating shaft and the third rotating shaft, the first transmission assembly can drive the third rotating shaft to rotate when the first rotating shaft rotates, and a first driving assembly used for driving the first rotating shaft to rotate is installed on the installation box. The invention aims to provide an intra-area image acquisition device so as to solve the problem that a lens of an image acquisition device is easy to be contaminated by dust due to exposure in air in the prior art. And the dust can scatter light rays, so that the quality of an image shot by the image acquisition equipment is reduced.

To provide a light-emitting body suppressing deterioration in image quality of an image imaged by an imaging device while suppressing enlargement of the light-emitting device even when a light emission part emitting invisible light such as IR light and a light emission part emitting visible light such as white light are incorporated into one light-emitting device.SOLUTION: A light-emitting device 1 is attached to a second support body supported by a first support body, and includes: a first light-emitting part 11a emitting invisible light detected by an imaging device 2 attached to the second support body; a second light-emitting part 11b emitting visible light; and a lens 20 through which the invisible light emitted from the first light-emitting part 11a and the visible light emitted from the second light-emitting part 11b transmits. An amount of light emitted from a part located on the side of the first support body in the lens 20 of the invisible light emitted from the first light-emitting part 11a is smaller than an amount of light emitted from a part located on the side opposite to the side of the first support body in the lens 20 of the invisible light emitted from the first light-emitting part 11a.SELECTED DRAWING: Figure 4

The invention provides a nuclear medicine imaging adaptive control method and system based on a modular gamma probe, and relates to the technical field of nuclear medicine imaging. The method comprises the following steps: acquiring multi-scale signal features and identifying an uptake mode of current tracer agent distribution; dynamically adjusting the weight of the multi-scale signal characteristics in the positioning decision of the modular gamma probe array according to the identified characteristics of the shooting mode; after weight adjustment is completed, an adjustment instruction for the modular gamma probe array is generated and executed, the modular gamma probes are controlled to collect data, image data are obtained, and a diagnosis image is reconstructed. The method aims to solve the problem that the image quality is reduced due to data blurring and system misjudgment in an existing self-adaptive control method, and effectively inhibits the acquisition efficiency degradation caused by the difference of imaged objects, so that the diagnosis image quality is improved, artifacts and blurring are reduced, and the reliability and diagnosis accuracy of nuclear medicine imaging are enhanced.

The invention belongs to the technical field of retail equipment, and particularly relates to a self-service retail cabinet commodity identification method and system based on environmental adaptation, and the method comprises the steps: monitoring retail cabinet environmental parameters in real time through an environmental sensor network comprising a photosensitive sensor, a TOF sensor and a gravity sensor, and dynamically adjusting a data collection strategy based on a monitoring result; controlling a distributed visual perception network to acquire commodity image data through the generated data acquisition strategy; the sensing network comprises a top panoramic node, an interlayer focusing node and an import and export verification node, and cooperatively obtains multi-modal commodity image data; according to the invention, through a multi-source environment sensing network constructed by the photosensitive sensor, the TOF sensor and the gravity sensor, the illumination intensity, the people flow density and the commodity placement state are monitored in real time, and the image acquisition strategy is dynamically adjusted based on the fusion data, so that the problem that the image quality is reduced in a complex environment by a traditional fixed parameter acquisition strategy is avoided; and the robustness of data acquisition is obviously improved.

The invention relates to the technical field of photoacoustic microscopic imaging, and particularly discloses a solid-state photoacoustic microscopic imaging device and method based on a PLD and an MEMS scanning mirror, microscopic imaging is carried out by combining a pulse laser diode and a double-axis MEMS galvanometer, the low-cost pulse laser diode is used for replacing a solid-state laser, the double-axis MEMS galvanometer is used for replacing a mechanical scanning structure, and the device and the method are simple and convenient to operate. Miniaturization and low cost of the photoacoustic microscopic imaging device are realized from a hardware structure; meanwhile, the invention provides a dynamic time sequence triggering optimization scanning algorithm based on Monte Carlo and greedy algorithms, so that the problems of spatial non-uniform sampling and image distortion caused by resonant motion characteristics of the biaxial MEMS galvanometer are solved; a deep learning technology is adopted to perform image enhancement on the obtained microscopic image, so that the problem of image quality degradation caused by low light intensity of a pulse laser diode is solved.

The invention discloses a flexible DC converter valve bypass switch state monitoring method and system, and the method comprises the steps: carrying out the image enhancement of a bypass switch opening and closing image through employing a trained improved graph-to-graph generative adversarial network, and carrying out the state recognition of the enhanced bypass switch opening and closing image through employing a trained bypass switch state recognition model, according to the method, the state of the bypass switch can be directly monitored by performing state recognition on the opening and closing images of the bypass switch without depending on the integrity of an electrical loop, and the trained improved graph is firstly used for performing image enhancement on the graph generative adversarial network, so that the state of the bypass switch can be directly monitored. According to the method, the problem of image quality degradation caused by factors such as brightness change, illumination color cast and shooting angle difference is solved, the trained bypass switch state recognition model is used for state recognition, and the opening / closing state mark on the bypass switch body can be directly judged, so that the state of the bypass switch of the converter valve can be accurately and reliably monitored.

The embodiment of the invention provides a display panel, a manufacturing method thereof and a display device. In the provided display panel, the distance between each organic film layer of a first light-emitting device and a second light-emitting device and an adjacent isolation structure is controlled, so that the distance between each organic film layer and an adjacent first isolation substructure is greater than 0, and the distances between at least part of the organic film layers and the adjacent isolation structures are different; therefore, the organic film layer which is in contact with the first isolation substructure and is easy to generate leakage current can be prevented from being in contact with the isolation structure, the problems of image quality degradation, uneven brightness and chromaticity and the like under a low gray scale caused by the leakage current are solved, and the efficiency under the low gray scale can also be improved.

The present invention provides an imaging device capable of suppressing image quality degradation that occurs during image synthesis processing. [Solution] An imaging device (100) that can communicate with an illumination device (300) comprises an image sensor (102) that acquires a first RAW image and a processing means (101) that instructs the illumination device to emit light and performs image synthesis processing. The processing means generates a second RAW image by removing information related to the image sensor or imaging settings from the first RAW image, performs synthesis processing using the second RAW image to show the effect of light emission from the illumination device, and generates a third RAW image by adding information to the second RAW image after synthesis processing.

The application discloses a hierarchical image rain removal method based on enhanced rain streak perception. In view of the image quality degradation problem in rainy environment, an enhanced rain streak perception feature enhancement module E-RAFEM is designed, which integrates a learnable direction filter and a rain streak texture modeling two core components, and accurately models the directionality and linear texture features of rain streaks. A Transformer-based encoder-decoder backbone network is used, and the E-RAFEM module is embedded in the first three encoding levels to form a hierarchical rain streak processing mechanism. An incremental multi-scale fusion mechanism is introduced, multi-scale features are captured through different expansion rate convolution kernels, and an incremental method is used to gradually integrate to avoid information loss. The enhanced rain streak perception network ERA-Net proposed by the application realizes high-quality recovery of images under various complex rainy conditions through accurate rain streak feature modeling and hierarchical processing strategy.

Provided is a data generation device that generates print data with which a deterioration in image quality is suppressed even when ink is printed in an overlapping manner. A data generation device 90 generates print data P20 so that the total of the amount of color ink CK per unit area U1 acquired by a first ink amount acquisition unit 92 and an amount of white ink WK per unit area U1 determined by a second ink amount determination unit 96 becomes a total ink amount MK. Therefore, when the color ink CK and the white ink WK are discharged according to the print data P20, the total amount of the color ink CK and the white ink WK is constant at the total ink amount MK regardless of the position of an image layer 6a. The print data P20 suitable for suppressing image quality deterioration of the image layer 6a can be generated even when overlapping printing using the color ink CK and the white ink WK is performed.

The invention discloses a photovoltaic cell photoluminescence image noise identification and suppression method and system, and relates to the technical field of photovoltaic cell defect detection.The method comprises the steps that photoluminescence images of a photovoltaic cell under dark field and bright field conditions are collected through an image sensor; pre-processing the image, wherein the pre-processing comprises blind pixel correction based on a manual calibration method and black level correction based on absolute difference operation; based on the preprocessed image, fixed pattern noise is identified through a multi-frame comparison technology, and a noise position mapping matrix is generated; and based on the matrix, carrying out noise suppression on the image by adopting a selective multi-stage median filtering strategy, and outputting a corrected image. According to the method, the problems of image quality reduction and low defect identification precision caused by fixed-mode noise interference in the prior art are effectively solved, efficient processing and detail reservation are taken into account, and the accuracy and reliability of photovoltaic cell defect detection are remarkably improved.

A method for detecting degradation of an ultrasound imaging system (140) includes receiving ultrasound images of a heart (S311); automatically determining a cardiac view of the heart by applying at least one ultrasound image to a trained machine learning algorithm (S312); automatically selecting an image quality (IQ) model from a plurality of IQ models based on the determined cardiac view of the heart (S313); determining an IQ metric associated with each ultrasound image by applying each ultrasound image to the selected IQ model (S314); aggregating the IQ metrics to provide an aggregated IQ score associated with each ultrasound image, thereby creating a time series of aggregated IQ scores (S315); estimating a level of degradation of the ultrasound imaging system based on the time series of aggregated IQ scores associated with the ultrasound images over time using a degradation detection machine learning algorithm (S316); and notifying a user of the estimated level of degradation (S317).

This invention discloses a method and apparatus for evaluating the robustness of image watermarking. The method includes: acquiring an original image dataset; printing watermarks on a portion of the original images in the original image dataset using the watermarking algorithm to be evaluated, forming a watermarked image dataset; attacking all images in the watermarked image dataset to obtain an attacked image dataset; performing watermark recognition on all images in the attacked image dataset to obtain watermark recognition results; the watermark recognition results include the true positive rate and the false positive rate; using a preset image quality measurement algorithm, calculating the image quality measurement values ​​before and after the attack for each watermarked image, as the image quality degradation result; determining the image watermark robustness evaluation result based on the watermark recognition result and the image quality degradation result; the image watermark robustness evaluation result includes an image watermark robustness evaluation report. This invention provides a complete, systematic, and mature method for evaluating watermarking algorithms.

The invention relates to the technical field of crossing of artificial intelligence and machine vision, discloses an AI-vision-based machine tool frame casting defect detection method and system, and aims to solve the technical problems that the image quality is reduced and the defect detection accuracy is influenced due to sudden change of instantaneous illumination in an industrial field. According to the method, illumination time sequence data are collected in real time by integrating a main imaging sensor and a high-frequency auxiliary light field sensor array, and future light field distribution is predicted based on a hardware Kalman filter; and generating a pixel-level dynamic gain matrix according to the main image, performing regional adaptive exposure compensation on the main image in a simulation domain, performing linear reconstruction and gain adaptive denoising, and outputting an illumination balanced image for an AI model to detect microcracks and pores. The system realizes microsecond-level illumination abrupt change response and local accurate compensation, and obviously improves the imaging consistency and defect detection rate.

The present invention relates to a display device in which a light-emitting element and an optical lens are laminated on a light-emitting region of a device substrate. A black matrix and a touch electrode may be laminated on a non-light-emitting region of the device substrate. An encapsulation unit covering the light-emitting element and an optical insulating film covering the black matrix may be located on the light-emitting region and the non-light-emitting region of the device substrate. The touch electrode and the optical lens may be located on the optical insulating film. A lens barrier may be located on the optical insulating film. Each optical lens may be surrounded by the lens barrier. Accordingly, deformation of each optical lens due to a reflow process can be prevented in the display device. Therefore, degradation of image quality due to the formation process of the optical lens can be prevented in the display device.

[Problem] To prevent the occurrence of image quality degradation of a captured image due to an offset error, and to reduce circuit area and power consumption. [Solution] An imaging device comprises: a pixel that has a photoelectric conversion element for accumulating a charge corresponding to an amount of incident light and that generates a pixel signal corresponding to the charge; a signal line that transmits the pixel signal; a sample-and-hold circuit that continuously performs a sample operation and a hold operation of the pixel signal on the signal line in accordance with the cycle in which the pixel signal on the signal line switches; and an analog-to-digital converter that converts the pixel signal held in the sample-and-hold circuit into a digital pixel signal.