76 results about "Ultrahigh resolution" patented technology

The invention discloses a one-dimensional ultra-wide field-of-view ultra-high spectral resolution dispersion coherent imaging spectrometer, which belongs to the technical field of spectral imaging, and comprises a first microlens array used for obtaining incident light of a one-dimensional ultra-wide field-of-view in a horizontal plane; the plurality of optical fibers are used for transmitting incident light of a one-dimensional ultra-wide field of view; the second micro lens array is used for collimating incident light from each optical fiber into broadband parallel light beams; the grating beam splitter interferometer is used for dispersing the broadband parallel light beams into a plurality of narrow-band parallel light beams with different propagation directions; the cylindrical lens is used for converging the two paths of coherent light of each narrow-band parallel light beam to a target block of the detector, and converging the narrow-band parallel light beams with different propagation directions to different target blocks respectively; and the detector is used for obtaining a continuous broadband ultra-high resolution spectrum according to the two paths of coherent light received by each target block. According to the invention, a one-dimensional ultra-wide field of view is obtained in a horizontal plane, and ultra-high spectral resolution can be obtained.

The application belongs to the technical field of chemical detection, and particularly relates to a Raman-LIBS-mass spectrometry combined analysis device and analysis method. The Raman-LIBS-mass spectrometry combined analysis device comprises a multiple-reflection time-of-flight mass spectrometer, a LIBS spectrometer, a Raman spectrometer and a shared module. The shared module comprises a first incident light path system, a second incident light path system, a high-definition observation system, a vacuum sample bin, a vacuum system and a control system. The first incident light path system is used for generating a femtosecond laser beam and performing three-dimensional ablation on a sample. The second incident light path system is used for combining tunable lasers into a resonance ionization light path. Compared with the prior art, the application can realize in-situ micro-area ultra-high resolution element and isotope analysis and imaging, realize ultra-trace element, isotope analysis and isotope ratio analysis under strong matrix interference, and can also perform high-resolution molecular structure and composition analysis and Raman scattering imaging.

The invention discloses a picture loading method and device, equipment, a storage medium and a computer program product, and the method comprises the steps: responding to a preview request of a client for a to-be-loaded picture, obtaining the size of a current display window of the client and the position information of the to-be-loaded picture, and determining an initial fragment of the to-be-loaded picture currently displayed by the client; determining a corresponding next-level target fragment according to the initial fragment; according to the position information of the target fragments, the average feature number and the size of the current display window, calculating a loading weight of each target fragment; and according to the loading weight of each target fragment, loading each target fragment on the client in sequence for display. According to the method, multi-fragment loading display is added, loading of the ultrahigh-resolution picture is supported, the picture fragments are optimized, the granularity of preview is refined, the weights of the loaded fragments are determined according to the image features, the preview experience of a key area is effectively improved, and the loading speed of the fragments which a user is interested in is increased.

The invention discloses an optical imaging lens and imaging equipment. The optical imaging lens sequentially comprises, from an object side to an imaging surface along an optical axis, a first lens having negative focal power and with the object side surface to be a convex surface and the image side surface to be a concave surface, a second lens having negative focal power and with the object side surface to be a concave surface and the image side surface to be a convex surface, a third lens having positive focal power and with both the object side surface and the image side surface to be convex surfaces, a diaphragm, a fourth lens having positive focal power and with both the object side surface and the image side surface to be convex surfaces, a fifth lens having positive focal power and with both the object side surface and the image side surface to be convex surfaces, a sixth lens having negative focal power and with both the object side surface and the image side surface to be concave surfaces, and forming a cemented lens group with the fifth lens, and a seventh lens having positive focal power and with both the object side surface and the image side surface to be convex surfaces. The optical imaging lens provided by the invention has the characteristics of ultrahigh resolution, good thermal stability, large imaging surface and convenience in assembly.

The present application relates to a kind of railway tunnel disease intelligent detection method, including mixed resolution image acquisition, mixed resolution normalization preprocessing, double channel parallel disease detection, physical quantity calibration based on dynamic precision coefficient, dynamic splicing algorithm based on ROI feature fusion and mileage error dynamic calibration based on semantic anchor point.The present application is characterized in that, by mixed resolution normalization preprocessing, the compatibility problem of heterogeneous hardware is solved, the disease feature extraction precision of key area is retained using double-scale cascade detection mechanism, with dynamic precision coefficient matrix, the pixel physical mapping deviation caused by heterogeneous resolution is corrected, the accuracy of disease quantitative analysis and physical quantity inverse calculation is ensured;The present application significantly improves the processing efficiency of ultra-high resolution image, eliminates the mileage cumulative positioning error in long-distance inspection, realizes the full-quantitative accurate detection of track traffic tunnel disease in low-cost, high-efficiency environment.

The invention relates to the technical field of video processing, and provides a video image quality evaluation method and device, and the method comprises the steps: carrying out the pyramid zooming of each video frame in a to-be-evaluated video frame sequence, and obtaining a plurality of pyramid images with different resolutions corresponding to each video frame; for each layer of image in the pyramid image corresponding to each video frame, uniformly sampling Gh * Gw image blocks with the resolution of fh * fw, and combining the image blocks to obtain a fragment image with the resolution of (Gh * fh) * (Gw * fw); performing space masking and time masking on the fragment images to obtain a target image sequence; and inputting the target image sequence into a video image quality evaluation model to obtain a score output by the video image quality evaluation model, the video image quality evaluation model being obtained by training based on a target image sequence sample and a score tag corresponding to the target image sequence sample. According to the method and the device, the ultrahigh-resolution video frame sequence to be tested is accurately evaluated, and the evaluation result conforms to subjective perception.

The utility model discloses an ultrahigh-resolution piezoelectric controller, and relates to an ultrahigh-resolution piezoelectric control technology. In order to solve the problems of limited DAC resolution, slow closed-loop control response speed, large signal noise and drift, multi-DAC superposition error accumulation and the like, the utility model provides a controller circuit board which comprises a power supply unit, a main control unit, a driving unit and a sensing servo unit. The power supply unit provides a stable multi-stage power supply; the master control unit adopts a 32-bit single-chip microcomputer and integrates a DA conversion circuit, an AD conversion circuit and an analog signal input unit. The driving unit amplifies the main control signal and drives the piezoelectric ceramic actuator. The sensing servo unit comprises a signal conditioning circuit and a PID closed-loop control circuit. The utility model also discloses an ultrahigh-resolution piezoelectric controller comprising the circuit board. The piezoelectric driving device is widely applied to the fields of precise motion control, nanoscale positioning, micro-nano manufacturing, acoustic equipment, medical equipment and the like, and high-precision, low-noise and stable piezoelectric driving control is achieved.

The invention discloses an ultrahigh-resolution image semantic segmentation algorithm based on semantic feature enhancement, and belongs to the field of computer vision. The method is characterized by comprising the following steps: step 1, inputting an original image I0; 2, preprocessing the original image I0 to obtain an image I1 and an image P1; 3, performing double-branch feature extraction on the image I1 and the image P1; step 4, carrying out feature fusion on the feature map obtained through the double-branch feature extraction in the step 3 to obtain a final feature map; and 5, generating a final semantic segmentation mask with the same resolution as the original image I0 through the final feature map obtained in the step 4. According to the ultrahigh-resolution image semantic segmentation algorithm based on semantic feature enhancement, lossless compression and information enhancement are realized for the original image by using the advantages of wavelet transform in the aspects of time-frequency analysis and multi-resolution representation of the signal, and dual-branch feature extraction is adopted, so that the image segmentation accuracy is improved. And the contradiction among the segmentation precision, the memory consumption and the reasoning speed is balanced.

The invention provides a bone evaluation method based on neural network enhancement and finite element analysis. The bone evaluation method comprises the following steps: acquiring an ultrahigh-resolution CT image of a living vertebra; performing domain conversion processing on the CT image by adopting a generative neural network; carrying out resampling and segmentation on the enhanced CT image; constructing a bone trabecula microstructure model in the cancellous bone mask area; assembling the RVE unit and the cortical bone model into a complete vertebral finite element model, and applying a multi-working-condition load to the RVE unit to calculate anisotropic material parameters; and carrying out axial compression finite element analysis on the complete centrum model, and judging the bone health state. According to the method, information of two dimensions of bone mass and bone, especially contribution of a bone trabecula microstructure to bone strength, is comprehensively considered, bone degeneration and fracture high-risk patients can be recognized earlier, and a scientific basis is provided for clinical early intervention.

The application discloses an equal-wavenumber division waveband noise reduction method for an infrared Fourier transform spectrometer, and is applied to fine spectral detection with wide spectral range and ultrahigh resolution. When designing a low-temperature infrared Fourier transform spectrometer, a low-temperature filter wheel is arranged in an optical path in front of a detector, and the low-temperature filter wheel is driven by a low-temperature motor. A plurality of filters are arranged on the filter wheel, the central wavelengths of the filters are different, the central wavelength intervals are different, the central wavelengths and the bandwidths of the filters are designed according to equal central spectral intervals, each filter has a narrow bandwidth, and according to a spectral range of a required detection target, a corresponding filter is selected to realize spectral detection with ultrahigh spectral resolution of a concerned spectral range. For the infrared Fourier transform spectrometer with high spectral resolution and wide spectral bandwidth, the measurement brings the advantage of reducing noise caused by out-of-band photons on the detector, and low temperature of the filter reduces infrared background and photon noise caused by the filter body.

The invention relates to the technical field of image processing, in particular to a real-time image intelligent splicing processing system based on multi-path fusion, which comprises a data preprocessing module, a parameter generation module, a frame synchronization module and a fusion output module, the data preprocessing module is used for generating a corresponding full-resolution correction image and a corresponding low-resolution thumbnail; the parameter generation module is used for generating a splicing control parameter set; the frame synchronization module is used for synchronizing the splicing control parameter set with the corresponding full-resolution correction image; the fusion output module is used for generating and outputting a spliced full-resolution video stream; a real-time splicing process is decoupled into two links of intelligent parameter calculation based on a low-resolution thumbnail and parameter-based full-resolution image accurate execution, so that a real-time intelligent splicing effect with low delay, high image quality, scene self-adaption and efficient bandwidth in a real-time splicing process of an ultrahigh-resolution video is realized.

The invention discloses an ultrahigh-resolution image target detection method and system based on weak segmentation, and the method comprises the steps: obtaining an original ultrahigh-resolution image, segmenting the original ultrahigh-resolution image through a multi-overlapping-degree weakening segmentation mechanism, and obtaining a plurality of sub-image instance sets with different overlapping degrees; inputting the plurality of sub-graph instance sets into a convolutional neural network feature extractor in parallel, and fusing the multiple weak segmentation features of the plurality of sub-graph instance sets input in parallel to obtain a fused feature graph; and inputting the fused feature map into a target detection model for prediction to obtain a plurality of candidate frames detected by the same target in the sub-maps with different overlapping degrees, processing the plurality of candidate frames by adopting a weak segmentation boundary consistency optimization mechanism, and outputting a final target detection result. High calculation efficiency is kept while small target information is not sacrificed and a target truncation problem is effectively avoided.

This invention relates to the field of computer technology and discloses a distributed display control method and system supporting multimedia file display. The method includes, in response to a display command, acquiring a multimedia file and loading it to a playback control terminal, generating an overall display screen, and splitting it into multiple sub-screens using a graphics card internal splicing method to form multiple display signals. These signals are then sent to multiple correspondingly connected encoding transmission nodes, encoded as network signals, and combined at the display control terminal into a virtual extended signal source. In response to a display arrangement command for the extended signal source, the display control terminal associates the extended signal source with a decoding display node and sends control commands to the decoding display node to decode the network signals received from the encoding transmission node into display signals and drive the corresponding display terminal to display the image. This invention supports the splicing and output of ultra-high resolution multimedia content, enabling direct display without the need for additional playback equipment or manual switching.

The invention discloses a dynamic range compression image enhancement algorithm for an ultrahigh-resolution high-dynamic image and hardware thereof, and the algorithm comprises the steps of RGB-XYZ color space conversion, n-frame average maximum brightness statistics, adaptive brightness zooming, dynamic mapping factor calculation, segmented low-bit mapping and the like, and achieves high-dynamic range precise compression. Hardware adopts a modular design, and ASIC / FPGA deployment is supported. According to the method, the dynamic range compression from the high-bit high-dynamic image to 8-bit display is efficiently completed, the details of a dark part and a medium-brightness region are reserved to the maximum extent, and the visual effect of an original scene is restored; a traditional high-complexity algorithm is abandoned, the calculation amount and the on-chip storage cost are reduced by simplifying the design, and low-time-delay and low-power-consumption deployment is achieved; and adaptive parameters and dynamic mapping are adopted, so that the problems of overexposure and underexposure caused by a fixed mapping curve are avoided, the quality of a reconstructed image is remarkably improved, and the high-quality display requirement in a low-delay and low-power-consumption scene is perfectly met.

A circulating refrigeration system without liquid helium consumption. The system comprises: a liquid-helium-free refrigerating machine (40); a copper shielding tube (10), one end of the copper shielding tube (10) being connected to a shielding cylinder (5) of the liquid-helium-free refrigerating machine (40), and a first-stage cold head connector (11) and a second-stage cold head connector (13) being provided at the other end of the copper shielding tube (10); a first-stage cold shield, which is connected to the first-stage cold head connector (11) by means of a copper braid and is arranged on the outer ring of a μ metal cover; the μ metal cover, which is connected to the first-stage cold head connector (11) by means of the copper braid and is connected to the first-stage cold shield by means of a first-stage cold shield copper braid, wherein the μ metal cover, as a fixing ring, is in vacuum connection with a lower pole piece of an electron microscope, and the μ metal cover is connected to a Z-axis piezoelectric ceramic holder in a sample chamber (8) by means of a thermally insulating gasket; and a sample stage fixing member (28), which is connected to the second-stage cold head connector (13) by means of the copper braid. The present application can achieve a required liquid-helium temperature range environment for a long time, thereby greatly reducing the experiment cost, reducing mechanical vibrations, improving the transverse resolution, and thus realizing an ultrahigh resolution of an electron microscope.

This invention relates to the field of satellite simulation technology, and discloses a method, device, and electronic equipment for simulating ultra-high resolution multi-view satellite images. The method includes: constructing a rigorous imaging geometric model between ground points in a preset three-dimensional scene and image points of a satellite sensor based on atmospheric refraction correction and solid tide correction; generating global illumination realistic shadows under the rigorous imaging geometric model based on solar radiation, and simulating the pixel output of the satellite sensor according to the global illumination realistic shadows to obtain a multi-view satellite image model; simulating different view images of the satellite sensor based on the multi-view satellite image model to obtain multi-view satellite images, and determining the rational function model of the rigorous imaging geometric model. This invention can overcome the limitations of traditional DSM / DOM data sources, taking into account the requirements of multi-view, ultra-high resolution, ultra-high precision, and fine detail, and achieving engineering simulation output of multi-view satellite images at the 0.2m level.

The present application belongs to the technical field of face attribute fidelity editing, and relates to a super-resolution face attribute lossless editing method, device and readable storage medium; an original super-high resolution source image is input into a local perception network, a core topological anchor point set of a target face is output, a forward spatial affine transformation mapping operator is solved to perform affine clipping and normalized projection on a region of interest containing the target face in the original super-high resolution source image, and a local feature sub-manifold image is obtained; the local feature sub-manifold image is input into a generative adversarial network to output an evolved feature manifold image; a matrix inversion operation is performed on the forward spatial affine transformation mapping operator to obtain an inverse spatial mapping operator to perform topological inverse projection transformation on the evolved feature manifold image, and output a low-dimensional evolved image; the low-dimensional evolved image is enlarged and rotated to a physical coordinate system of the original super-high resolution source image by using a high-order resampling interpolation algorithm, and a high-dimensional registered evolved image is obtained.

The utility model provides a brace-shaped magnetic resonance oral cavity wireless coil and magnetic resonance imaging equipment. The magnetic resonance oral cavity wireless coil comprises a plurality of wireless resonant rings and a flexible substrate, each wireless resonant ring is of a flexible loop structure, the wireless resonant rings are arranged in an array mode, every two adjacent wireless resonant rings are coupled, the wireless resonant rings are used for receiving magnetic resonance signals, the wireless resonant rings are arranged on the flexible substrate, and the flexible substrate is arranged on the flexible substrate. The flexible substrate is used for being attached to an oral cavity area. The unique tooth socket-shaped structure is tightly attached to oral anatomy, the sensitivity is high, upper and lower dentitions can be imaged at the same time, full-oral scanning is achieved, the process is greatly simplified, the coil has ultrahigh resolution and excellent signal-to-noise ratio, dental crowns, root canals and periodontal tissues can be accurately captured, and excellent soft tissue contrast is provided. The compact and high-adaptability design gives consideration to the comfort and diversified requirements of the patient.

The invention provides a method for estimating the biomass of vegetation between photovoltaic panels, and the method comprises the steps: obtaining a global vegetation index image of all photovoltaic arrays and a local vegetation index image of a part of photovoltaic arrays in a predetermined region, and carrying out the calculation of an inter-panel vegetation index image according to the local vegetation index image, adjusting the resolution of the inter-plate vegetation index image to be consistent with the resolution of the global vegetation index image; reconstructing the global vegetation index image according to the inter-plate vegetation index image after the resolution is adjusted to obtain a global reconstructed vegetation index image; and according to a pre-constructed inversion equation between the local vegetation index image and the biomass and the global reconstruction vegetation index image, calculating to obtain a spatial distribution diagram of the biomass between the photovoltaic array plates. According to the method, ultrahigh-resolution remote sensing image data does not need to be adopted, the high-precision global vegetation index image covering the large-area photovoltaic array is efficiently and rapidly obtained, and the estimation precision and efficiency of the inter-plate vegetation biomass in the photovoltaic array are improved.

Various embodiments are directed to analysis of three-dimensional structure of an integrated circuit (IC) sample in order to enable sample preparation for physical inspection and hardware assurance. Specifically, various embodiments provide a structural analysis framework that enables high-quality sample preparation, including careful material removal of IC packaging material without damaging internal components of the IC sample. In various embodiments, the structural analysis framework involves receiving a digital twin model of an IC sample, and the digital twin model may be generated using X-ray CT imaging. Then, various regions of interest of the IC sample may be identified and selected via the digital twin model. The structural analysis framework further includes performing THz-TDS to collect ultra-high-resolution thickness information at the regions of interest. Both the digital twin model and the ultra-high-resolution thickness information may then be used to guide material removal of the IC sample.

This invention relates to the field of spacecraft attitude control technology, and more particularly to an active phase stabilization control method and system for flexible vibration during agile maneuvers of satellites. Based on a two-level collaborative architecture of primary control on the satellite platform and secondary control on the three-dimensional super-platform, this method addresses the problem of sustained oscillations easily triggered by large flexible appendages after agile maneuvers by designing an active phase stabilization controller. This controller is configured to specifically design the key flexible mode frequencies affecting maneuver stability. Through phase lead compensation, the damping ratio of the system is effectively increased, thereby rapidly suppressing flexible vibrations after maneuver cessation. By distributing the load control torque, after phase stabilization compensation, to each actuator on the three-dimensional super-platform, rapid stabilization of the load direction within seconds is achieved, overcoming the contradiction between rapid maneuvering and ultra-high stability that is difficult to achieve in existing technologies, and meeting the stability requirements of ultra-high resolution imaging.

The embodiment of the invention provides a bone microstructure segmentation method and device, a storage medium and a program product. In the embodiment of the invention, a bone microstructure image is obtained, a weighted graph network is constructed according to the spatial change rate of voxel gray values, and the discrete curvature of each voxel block is calculated based on the weighted graph network so as to extract positive curvature components in a specified data range to form a positive curvature feature graph; and screening a target voxel block in combination with a bone tissue HU range, determining a maximum connected bone tissue region in the positive curvature feature map, and gradually complementing a boundary and an internal structure through region growth and pore filling so as to obtain a segmentation result of a bone microstructure. According to the method, curvature-driven geometric feature extraction and region growth evolution based on gray constraint are taken as the core, the segmentation problem in ultrahigh-resolution bone microstructure image processing is effectively solved, and automatic and high-precision segmentation of the bone microstructure image is realized on the premise of not depending on a large amount of manual annotation data.

The invention provides a Micro-LED mass transfer method, relates to the technical field of Micro-LED display, and is suitable for the fields of high-resolution display, vehicle-mounted display and the like. According to the method, high-precision transfer is realized through stress field-electric field coupling pickup and thermal field-flow field cooperative release in combination with optical closed-loop control; a gradient interface energy coating and a cross-scale elastic design are adopted, so that the damage rate of the chip is reduced to 2.5 ppm; deep learning defect detection and laser repair are integrated, and the panel yield reaches 97.5%. Through multi-scale adaptive control and intelligent path planning, the transfer efficiency reaches 280,000 pieces per hour, heterogeneous integration of chips with multiple sizes of 5-50 microns is supported, the problems that a traditional method is low in precision, high in damage and poor in efficiency are solved, and the mass production requirement is met. And the pixel-level positioning requirement of an ultra-high resolution display panel of 8K and above can be met, and the industrial problem that the transfer precision of a micro-size chip is insufficient is solved. And in combination with an in-situ laser repairing technology, the total yield of the panel is further improved, and material waste and production cost are greatly reduced.

The application discloses a kind of super high resolution Thangka mural image retrieval method, system and computer and storage medium, applied to image retrieval field, for computer cannot directly process super high resolution image, processing efficiency is low, and feature matching is prone to error Problem;The application first uses Gaussian smoothing processing to the image to be searched to reduce the noise of image;Then again the color feature analysis screening is carried out to the image after Gaussian smoothing processing, and the image to be searched with single image color feature and seriously eroded is screened out;Then the image in original library is down-sampled to carry out dimension reduction operation, and the image with resolution reducing layer by layer is obtained, and is stored in the image library of corresponding layer, so that machine can process entire image;Then the size of the image to be searched is used as sliding window size, to carry out multi-scale feature matching with each layer original image library;So as to obtain matching result.

The invention provides a methane observation data high-resolution processing method, system, equipment and medium, and belongs to the field of greenhouse gas satellite remote sensing, and the method comprises the steps: firstly, generating a low-resolution-medium-resolution training pair from medium-resolution data through a physical degradation function, and solving the problem of label missing; then, a physically guided multi-source information fusion super-resolution network is trained, the network is optimized through a mixed loss function, and the loss function creatively fuses pixel loss, adversarial loss and physical constraint loss using ground truth value data; and finally, through cascade reasoning, applying the trained model to original satellite data, and directly outputting hectometer-level ultrahigh-resolution methane concentration data. According to the method, the authenticity and absolute precision of a reconstruction result are remarkably improved, the method does not depend on a prior emission list, the calculation efficiency is high, and an efficient and reliable technical means is provided for large-range and high-precision methane point source monitoring.

The application belongs to the field of image processing, and provides a kind of super high resolution image exposure error correction method and system, including separating high and low frequency information in current image needing exposure correction, decomposed into multiple high frequency information layers and single low frequency information layer;Low frequency information layer is down-sampled to low resolution, and a kind of bilateral grid network similar to affine transformation is calculated and obtained, and the low frequency information layer after correction is obtained through the bilateral grid similar to it;Multiple high frequency information layers are corrected using shallow network, to obtain the high frequency information layer after correction;The high frequency information layer after correction and the low frequency information layer after correction are reconstructed into the picture after exposure correction.The application solves the real-time and effectiveness problems of super high resolution image exposure correction task by applying a kind of lossless reversible image content decoupling method and new multi-layer residual extraction correction transformation prediction module.

The utility model provides a kind of underground pipe gallery breakage image acquisition device based on track inspection robot, including chassis, and chassis bottom is equipped with mobile mounting frame;Mobile mounting frame is equipped with visible light camera, image acquisition component;Image acquisition component includes dual-spectrum camera;Chassis is equipped with positioning module, main controller and data transmission module;Main controller is connected with dual-spectrum camera, visible light camera and positioning module;Data transmission module is connected with the main controller, and signal connection pipe gallery terminal.The utility model carries dual-spectrum camera and visible light camera on track inspection robot, synchronously collects the first visible light image of 400-700nm and 8-14μm thermal infrared image, provides 3840×2160 ultrahigh resolution second visible light image;Two-way image data is compressed after 5G router, and is transmitted to terminal by optical fiber, three source data redundancy design, crack miss detection rate greatly reduces, simultaneously avoid the misjudgment caused by environmental interference due to single sensor.