94results about How to "Enhanced implementation" patented technology

The invention discloses a microphone array voice enhancement method and system. The microphone array voice enhancement method comprise the steps that multi-channel voice signals are collected by usinga microphone array, voice energy obtained by an energy collector is received, sound source azimuth information is acquired, a time delay compensation value of each channel of each microphone array signal is calculated by using geometric relationships of the sound source azimuth information, and beam forming processing is performed according to the time delay compensation value of each channel ofeach microphone array signal to realize the enhancement of voice information. According to the microphone array voice enhancement method and system, the signal reflection focusing characteristic of aconical structure is fully utilized to collect the voice energy in a corresponding angle range, the azimuth information can be obtained in real time, a complex azimuth estimation algorithm is not required, and the system is simple and convenient to implement.

The invention discloses a speech enhancement method applied to a dual-microphone array.The speech enhancement method includes the steps that a time-frequency mask filter is constructed with phase difference of dual-microphone channel speech signals to filter out unsteady directional noise; a harmonic reconstruction algorithm is adopted to reconstruct the speech signals obtained after time-frequency mask filtering to obtain a corresponding filter, original signals with noise are filtered through the filter, expected clean speech signals are recovered, and the speech signals are enhanced.

The invention provides a method for enhancing images, which comprises the following steps: processing original images to obtain detail images; calculating local enhancement coefficients of an area which takes each pixel point as a center in the original images; and enhancing each pixel point corresponding to the original images in accordance with the obtained detail images and each calculatedly obtained local enhancement coefficient so as to obtain enhanced detail images. The invention also discloses a device for enhancing the images. The method and device for enhancing the images, which are provided by the invention, are used, thereby being capable of enhancing detail information of the images, such as edges and the like, and improving the accuracy of intelligent analysis and processing.

The invention discloses a medical image holographic AR (augmented reality) display technology system in the medical field. The system comprises an image recognition device, a motion capture device, a man-machine interaction interface and a three-dimensional virtual image superposing system and is characterized in that the image recognition device and the motion capture device acquire a real medical image of a human body, the real medical image acquired after digital conversion is superposed with a three-dimensional virtual human body model and displayed on the man-machine interaction interface, and by means of the human-computer interface which is an interactive advanced human-computer interface of a computer, medical technicians can sense objective existence of organs and tissue morphology in the body of a real patient by combining a virtual reality system with medical images.

The invention discloses a method, equipment and system for transmitting an enhanced downlink control channel, belonging to the field of communication. A method for sending an enhanced downlink control channel comprises the following steps of: presetting a multiplexing unit, wherein the multiplexing unit comprises at least one resource block pair, the at least one resource block pair comprises E-PDCCH (enhanced-physical downlink control channel) resource and DM RS, and the E-PDCCH resource comprises multiple control channel units; and sending at least one E-PDCCH corresponding to at least one piece of UE (user equipment) in at least one control channel unit of the multiplexing unit, and sending the DM RS corresponding to the at least one piece of UE. Through the invention, the granularity of the enhanced downlink control channel is reduced, the resources are saved, the enhancement of the downlink control channel is realized, and more control channels can be provided to the UE for use.

The invention provides a laser underwater imaged image denoising and enhancing method for ocean exploration, and belongs to the field of image processing and pattern recognition. The core of the method is that at first, noise processing is performed on a laser underwater imaged image by applying SVD (singular value decomposition) and reconstruction in an airspace; then, aiming at the problem that the image has a little noise after SVD processing, wavelet decomposition and reconstruction are performed on the image in a wavelet domain to realize the purpose of wavelet denoising and enhancing; at last, FFT enhancing is performed on the image in a frequency domain to improve the image contrast and effectively keep the image resolution. Experiments show that the method can overcome a blocking effect due to equalization of local histogram equalization, and the image noise is effectively inhibited and the image resolution is kept under the premise that the image enhancement is realized.

The invention relates to a multi-scale multi-phase dispersion strengthening iron-based alloy and a preparing and representation method thereof. The alloy comprises a matrix and a strengthening phase.The strengthening phase comprises at least two kinds of strengthening phase particles different in size. The strengthening phase particles, with the grain size smaller than or equal to 50 nm, in the two kinds of strengthening phase particles different in size account for 85%-95% of the total volume of all the strengthening phase particles. The matrix is a Fe-Cr-W-Ti alloy. The strengthening phasecomprises Y2O3 crystals, a Y-Ti-O phase, a Y-Cr-O phase and a Y-W-O phase. A representation method of the multi-scale multi-phase dispersion strengthening iron-based alloy comprises the steps that thestrengthening phase in the alloy is separated through electrolysis, and then representation is conducted through an electron microscope. The room-temperature tensile strength of the prepared alloy ishigher than 1,600 MPa, the tensile strength of the alloy is larger than 600 MPa when the temperature is 700 DEG C, and the comprehensive mechanical performance is obviously superior to that of same-mark and same-type alloys.

A life prolonging method for quickly repairing microcracks of pump parts and a life prolonging device for quickly repairing the microcracks of the pump parts relate to the technical fields of metal surface protection and laser machining and application. The microcracks of pumps, particularly the microcracks of centrifugal pump shells are strengthened in a cold shock manner by the aid of power effects of laser shock waves; and coatings sprayed by the aid of the power effects of the laser shock waves contain 10-60% iron-titanium compound powder or flake zinc powder. Heating cracks are avoided during repair, the microcracks can be effectively repaired, the mechanical properties of the pump parts can be improved, and the problem of difficulty in practically applying the pump parts in acid and alkali liquid environments is solved. After the method and the device are used for repairing the damaged pump parts, the purposes of life prolonging and improvement of reliability and safety of the pump parts are achieved.

The invention discloses a chip of a signal enhancer used for a RF identifying system; the chip of the signal enhancer includes a receiving circuit, a transmitting circuit and a power module; the receiving circuit includes a filter, a demodulation amplifying module and a digital quantification module. The transmitting circuit includes a logic control module and a demodulation module. The signal transmitted to the signal enhancer by a double interface SIM card is received by the input end of the filter; the output end of the filter is connected with the input end of the demodulation amplifying module and then is output to the input end of the digital quantification module and then is output to the input end of the logic control module. The logic control module outputs the signal to the input end of the demodulation module. The demodulation module generates a subcarrier which reflects and demodulates the signal and returns the signals to a reader. The signal enhancer effectively solves the problem of signal attenuation by utilizing each module inside the chip of the signal enhancer and realizes the non-contact close-distance RF identification on a mobile phone under the situations of not changing the movable communication terminals like the existing RFID reader and the mobile phones.

The embodiment of the present invention provides a method and device for enhancing network flow data based on a generative adversarial net. The method comprises the following steps: acquiring a data set of real network flow in a target scene; training the generative adversarial net model according to the data set; and obtaining final enhanced flow data based on the trained generative adversarial net model. The embodiment of the present invention can be applied to various scenes without the need of expert experience in flow data aspect, flow data enhancement is adaptively implemented, the dataset of the network flow is expanded, and the effect of optimizing network performance by using a machine learning method is improved.

The invention discloses a multi-picture combining and recognizing cartoon education application system for an augmented reality technology, and belongs to the technical field of cartoons. Through eleven steps of beginning or powering on a computer, initializing pictures, selecting types, opening a camcorder lens, putting recognition pictures, confirming the recognition pictures and the like, virtual objects, virtual scenes or system prompt information which are generated by the computer are superimposed into real scenes, so that reality augmentation is realized. Besides, the relation of the system with the real world is not cut off, so that the interactive manner is more natural. When any one recognition picture is taken out alone, the content of one card can be shown on a flat panel display alone. The system disclosed by the invention can be applied to scene simulation of studying, exhibition and presentation, advertisements, games, military trainings and the like.

The invention discloses a retina image enhancement algorithm based on multiple scales and multiple directions. The method comprises the steps that input original RGB retina images are preprocessed, the original RGB retina images are broken up into images of red, green and blue three-channel images, and green channel images of the retina images are extracted; the green channel images of the retina images are subjected to multi-scale Hessian matrix filtering, and multi-scale enhancement images are obtained; the green channel images of the retina images are subjected to multi-direction two-dimension matching filtering, and multi-direction enhancement images are obtained; and the multi-scale enhancement images and the multi-direction enhancement images are subjected to fusion, and the final retina enhancement image results are obtained. Blood vessels in an appointed width range in the retina images are enhanced through a multi-scale Hessian matrix, meanwhile, multi-direction two-dimension matching filtering is used for carrying out enhancement on blood vessels in 12 different directions in the retina images, then the two enhancement results are fused, and accordingly final image enhancement is achieved.

The invention discloses a workpiece inner hole surface polishing and strengthening integrated machining system and a method adopting additive manufacturing forming. The system comprises a workbench, an cavitation generation system, a liquid supply circulation system and a controller, the volume alternating mode is adopted to change the volume of liquid in an inner hole of the additive manufacturing forming workpiece to be changed by virtue of the rapid reciprocating motion of a piston, so that the pressure is changed, a hollow bubble group is formed at the inner part of the liquid and an innersurface of the inner hole, and the hollow bubble group is killed along with further compression, so that shock waves and high-speed water jet flows are generated in the liquid medium; a nano-colloidin the inner hole makes full contact with the inner surface of the hole, ultra-fine polishing of the inner surface of the hole is realized, the shock waves and the high-speed water jet flows on an inner wall of the hole, so that a certain amount of plastic deformation is generated on the inner wall of the inner hole, and the reinforcing of the inner surface of the inner hole is realized. The cavitation technology and the nano colloid polishing technology are organically combined, the fatigue life and the surface smoothness of the inner surface of the inner hole are remarkably prolonged, and the requirements on the ultra-smooth surface are reaches.

The invention discloses a color eye ground image enhancement method based on an imaging model. The method can improve brightness and low contrast at the same time, and realize image data fidelity, and can effectively enhance the region of interest of clinical diagnosis; and comprises the steps of preprocessing the brightness; extracting foreground pixels and background pixels in a color eye ground image: estimating imaging model parameter-background brightness and an imaging model parameter-transmission coefficient; and finally performing image enhancement according to the imaging model: substituting the background brightness and the transmission coefficient into the imaging model for calculation to obtain an enhanced image.

The invention provides a method and a device for enhancing a CT image sequence. The method includes the following steps: converting each CT image in a to-be-enhanced CT image sequence into a gray image, scaling the gray images into images with a preset size, horizontally stacking and combining the images to get a 3D stereoscopic image, and vertically segmenting the 3D stereoscopic image to get a first preset number of to-be-enhanced 2D images with a first size; inputting the first preset number of to-be-enhanced 2D images with the first size to an image enhancement model in turn, and outputting a first preset number of enhanced 2D images with a second size; and vertically arranging and combining the first preset number of enhanced 2D images with the second size into an enhanced 3D stereoscopic image, horizontally segmenting the enhanced 3D stereoscopic image into a second preset number of target 2D images with the preset size, and taking the second preset number of target 2D images with the preset size as an enhanced CT image sequence corresponding to the to-be-enhanced CT image sequence. Enhancement of the to-be-enhanced CT image sequence is realized.

The invention belongs to the field of computer vision, and relates to an underwater image enhancement method based on double U-nets. According to the invention, the method comprises the steps: settingtwo U-net connection convolutional network frameworks based on an underwater imaging physical model, wherein each U-net is composed of an encoding-decoding network, and an attention mechanism is added in front of the first U-net; by processing an input image and a grayscale image thereof, outputting a piece of feature information at each layer of a decoding structure for the second U-net, and estimating a transmission image; processing the underwater image through the second U-net to estimate the underwater image after red light compensation, and connecting the decoding structure with the feature information output by the first U-net to ensure that the details of the image enhancement process are not lost; and finally, dividing the imaging model by the transmission graph to obtain a finalresult. According to the method, the underwater image with serious color distortion and serious atomization can be effectively enhanced, and the details of the image are reserved.

The invention relates to the technical field of underwater image processing, and specifically discloses an underwater image enhancement method based on a conditional generative adversarial network. Abasic image enhancement model is constructed; a step-by-step adversarial training strategy is provided; meanwhile, a pixel-level loss composed of a target loss function (formed by linearly combining an adversarial loss function, an L2 loss function and an angle loss function) is constructed in a training strategy; good robustness and effectiveness are realized; even if real underwater paired training data is lacked, the training precision is improved; artificially synthesized pairing data is used; enhancement of a real underwater image can still be effectively realized; the problem of atomization blurring in an underwater image is efficiently solved; image contrast is improved, problems of bluish and greenish color cast of the underwater image can be excellently solved, detail informationof the target object in the image can be enhanced, image visibility is improved, a farther target can be more clearly seen, and the generated image is promoted to be closer to a real scene.

The invention discloses an image sharpening method based on an SSE2 (Streaming SIMD extensions 2) instruction set. The method comprises the following steps of separating a component A, a component G, a component R and a component B from loaded image data, and obtaining a channel differential component with the component G as a reference component; carrying out high-pass filtering and margin gain amplification processing, and adopting a threshold shrinkage way and a value adjustment way to control a flat region of an image and a high-frequency component in an enhanced component G; adding the high-frequency component in the enhanced component G to an original component G to obtain a sharpened component G; summing the sharpened component G and the channel differential component to obtain a sharpened component R and a sharpened component B; and carrying out staggered arrangement on the component A, the sharpened component R, the sharpened component G and the sharpened component B through register shifting, writing into a buffer zone and then outputting. According to the method, when the image is sharpened, color space conversion is not needed, so that the high-efficient color image sharpening processing is achieved.

The invention relates to a grayscale image enhancement method based on a stochastic resonance mechanism of a delayed self-feedback FHN (fitzhugh-nagumo) model. A traditional method has no good effect in absence of noise model prior knowledge. The grayscale image enhancement method includes steps of performing row scan for the noise-contained grayscale images at first, acquiring one dimensional sequence formed by various pixel gray values, and normalizing various factors of the one dimensional sequence; inputting the normalized one-dimensional sequence into the delayed self-feedback FHN neuron model so as to enable system output to achieve the best state of the stochastic resonance; restoring the outputted sequence as an image pixel value range in an inverted normalization manner, and restoring the image pixel value range as grayscale images; and then performing column scan for the restored grayscale images by repeating the process, and finally acquiring the reinforced grayscale images after row scan and column scan. Since dimension reduction of the images is realized in a row direction and a column direction, peer to peer relationship of two-dimensional images in row and column directions is effectively improved, and retention of space structure characteristics of the grayscale images which are processed by the stochastic resonance is facilitated.

The invention discloses an ultrasonic-reinforced controlled atmosphere drying method and device. According to the method, when controlled atmosphere hot air is used for drying a material, the material is subjected to a direct contact ultrasonic treatment. With the ultrasonic-reinforced controlled atmosphere drying method provided by the invention, an oxidation reaction process during a drying process is effectively inhibited, such that effective components in the material are protected, color browning is effectively inhibited, and a problem that nutrients are prone to oxidative degradation under conventional hot air drying is solved. The direct contact ultrasonic treatment has a synergistic effect with controlled atmosphere drying under a low-oxygen environment. With the method, product quality is ensured, and ultrasonic energy is directly transferred into the material, such that water content migration rate of controlled atmosphere drying is effectively improved, and energy utilization rate and mass transfer reinforcement efficiency are improved. Therefore, drying efficiency is increased and drying time is shortened, and problems of low drying rate and poor product quality of conventional hot air drying are solved. The method and the device have a good application prospect.

To provide a crankshaft which can be strengthened in a short time and which is strengthened over a wide range while avoiding wasteful processing as a matter of course. This crankshaft comprises a fillet portion (15) between a crank pin (13) and a journal pin (11). A compressive residual stress is applied in approximately equidistant ranges in both circumferential directions from the portion of the fillet (15) where the greatest bending load acts, which is the center position, and the processing depth for applying the compressive residual stress gradually reduces in the circumferential direction away from the center position where the compressive residual stress is greatest.

The invention relates to an eye fundus image enhancement method and system. The method comprises the steps: constructing a blood vessel dictionary through an eye fundus learning image; carrying out the Frangi filtering of a to-be-enhanced eye fundus image, dividing blood vessels in a second subimage block into thick blood vessels and fine and fragile blood vessels through direction filtering, and setting the residual error weight and residual error threshold value of a blood vessel region according to the above; solving the inner products of the second subimage block with all first subimage blocks in the dictionary, selecting the first subimage block with the biggest inner product, and calculating the corresponding sparse coefficient of the first subimage block; calculating a residual error image through the selected first subimage block and the second subimage block, calculating the residual error of the blood vessel region in the second subimage block through the residual error weight of the blood vessel region, setting the residual error image as the second subimage block if the residual error is greater than the residual error threshold value, and repeatedly carrying out the process of selecting the first subimage block and calculating the residual error; reconstructing the second subimage blocks through the sparse coefficient, recombining the reconstructed second subimage blocks, and obtaining an enhanced eye fundus image. The method effectively inhibit the background noise, and keeps the fine and fragile blood vessels.

The invention discloses a deep network image enhancement method and system based on a derived graph and Retinex. The image enhancement method comprises the following steps: decomposing an input imageinto a reflection image and a brightness image by using a depth decomposition network, and enhancing the brightness image of the input image by using a depth enhanced image; processing a reflection image of the input image through fast mean filtering, and removing noise in the input image; besides, for the problems of low contrast ratio, low overall brightness and fuzzy details of a dark area of an input image, generating a derived image for processing; and finally, fusing the derived image, the filtered reflection image and the enhanced brightness image by adopting a fusion strategy to obtainan enhanced image of the input low-brightness image. According to the method, a shallow image derived image and a deep enhanced image obtained by a deep learning network are fused to realize enhancement of a low-illumination image.

The invention provides a Raw-to-Raw dark light image enhancement method, which comprises the following steps of: acquiring Raw data as a constructed training data set, and combining and expanding thetraining data set; building an image enhancement CNN network model according to the training data set, wherein the CNN network model comprises a multi-task training layer, an input layer, an encodingprocess, a decoding process, a jump connection layer and an output layer; performing iterative training on the CNN network model, updating each learnable parameter of the CNN network model to enable the learnable parameters to reach a certain convergence condition, and completing training; and performing model inference according to the trained CNN network model to finally obtain a dark light image enhancement network model, and performing image enhancement on the Raw data through the model. A dark light image enhancement model capable of intelligently processing a Raw format image is obtainedby constructing a data set and a model and training the data set and the model, so that the dark light image enhancement from Raw to Raw is realized.

The invention provides a super-division network model training method and device and electronic equipment. The method comprises the following steps: firstly, obtaining a plurality of sample image pairs; for each sample image pair, inputting an initial sample image in the sample image pair into the initial super-division network model to obtain a second sample image; performing at least one-scale down-sampling processing on the second sample image and the first sample image in the sample image pair to obtain a third sample image corresponding to the first sample image and a fourth sample image corresponding to the second sample image; combining the third sample image and the fourth sample image to jointly train the initial super-division network model, so that the enhancement performance of the lightweight initial super-division network model can be improved, additional network parameters are not introduced, and a lightweight target super-division network model is obtained, and the target super-division network model can better recover a high-resolution image, and the enhancement of a low-resolution image is realized, so that the reconstruction quality of the high-resolution image is improved.

Disclosed is a preparation method of liners for rolling mills. According to the preparation method, after the process of processing 45# steel plates according to drawings, size of working surfaces ofcontact moving parts of the liners is reduced by 1mm and then further processing is carried out; alloy powder is prepared from, by mass percent, 0.1-0.13% of C, 1.0-1.5% of Si, 14-16% of Cr, 1.6-1.7%of Co, 1.2-1.6% of Mn and the balance being Fe; every two processed liners of the same dimension are combined by the fixing way of keeping non-working surfaces of every two liners contacting; the alloy metal powder is spread in advance, and is subjected to metallurgical reaction with the basic metal of the liners through high-powder semi-conductor laser high-energy optical bean scanning, and thena reinforced alloy layer is formed on the working surface of each liner; finally, the reinforced alloy layer is subjected to finish machining through a surface grinder. The preparation method needs simple process and causes no pollution; the reinforced liners prepared by the method have the advantages of long service life and low cost.

The invention relates to an ADS-B monitoring system and method based on a Beidou foundation enhancement technology. The system comprises an enhanced CORS station, an airborne station and an ADS-B monitoring terminal. The enhanced CORS station is used to obtain the differential enhancement information of a Beidou satellite, and broadcast and send the differential enhancement information to the outside world. The airborne station is used to receive the positioning signal and the differential enhancement information of the Beidou satellite, and fuse the positioning signal and the differential enhancement information to obtain a high-precision positioning data source. The ADS-B monitoring terminal is used to acquire the positioning data source, display the monitoring information of the airborne station according to the positioning data source, and carry out real-time safety alarm on the airborne station according to the positioning data source and a preset autonomous interval maintaining standard. By using the system, the precision of the data source of the ADS-B monitoring system can be improved, and flight safety can be ensured through taking the autonomous interval maintaining standard as a ground ADS-B monitoring terminal alarm evaluation theoretical basis.

The invention discloses a double-drive hole wall machining system and method for reinforcing inner surfaces of slender holes with small apertures. The lower end of a first connecting rod is connectedto the middle part of a crankshaft; the upper end of the first connecting rod is connected to the lower end of a first piston; the upper end of the first piston extends into a piston cylinder from thebottom of the piston cylinder; workpieces with upper and lower vertical workpiece holes are placed in the piston cylinder right above the first piston; a second piston is right above the workpieces;the lower section of the second piston extends into a sealing cover; the upper end of the second piston is connected to the lower end of a second connecting rod; the upper end of the second connectingrod is connected to the middle part of a second crankshaft; a liquid supply system can inject and discharge liquid in and out from a cavity of the piston cylinder; a controller respectively controlsa vertical moving worktable, a first driving motor, a second driving motor and the liquid supply system; through quick reciprocating movement of the pistons in the sealing cavity, the size of liquid in holes to be reinforced is changed to change the liquid pressure, so that the hole walls are plastically deformed to a certain extent, and the reinforcement of the hole walls is achieved; and under coaction of two pistons, the cavitation effect is better.