68results about How to "High restoration accuracy" patented technology

The invention provides a method for restoring a road traffic scene and a driver driving behavior based on multi-sensor data. Through the multi-sensor data and multi-restoration algorithm fusion, precise restoration of the road traffic scene and the driver driving behavior is realized. The method for restoring the road traffic scene and the driver driving behavior based on the multi-sensor data particularly comprises the steps that the precise restoration of a vehicle running track is realized by mutual calibrating of multi-source data; precise measuring of the speed and distance of a barrier is realized on the basis of single-camera vision and a millimeter-wave radar; and the multi-source data fusion generation is smaller than the road traffic scene, and the driving behavior is greater than data pairs. According to the method for restoring the road traffic scene and the driver driving behavior based on the multi-sensor data, the defects that the data source in the prior restoration art is singular, high quality data is obtained relying on expensive equipment, and restoration precision is low are overcome.

An image pickup apparatus according to one aspect of the invention includes: an imaging lens configured to perform a phase modulation function to extend a depth of field; a color image pickup element configured to convert an optical image which passes through the imaging lens and is formed on the image pickup element into an electric signal, the image pickup element having primary filters of three primary colors arranged for respective pixels in a predetermined pattern; and a restoration processing device configured to perform filtering processing using a single restoration filter on color signals corresponding to the primary filters of the three primary colors outputted from the color image pickup element, the restoration filter being an inverse function of a point spread function obtained when the phase modulation is performed by the imaging lens.

The invention discloses a network traffic restoring and playback method. The method is characterized by comprising the steps that (a) traffic capture is implemented, wherein the arrival timestamp corresponding to each data packet is recorded in real time according to the precedence order of arrival of the data packets, and the capture starting time corresponding to each data packet is recorded; (b) restoring and playback are implemented, wherein the corresponding playback starting time is recorded every time the playback is started, and the sending time of the data packets is controlled when the playback is started according to the timestamp of each data packet, the recorded capture starting time, the recorded playback starting time and current time. The network traffic restoring and playback method is easy to implement, the network environments during capture can be restored and reproduced accurately.

The invention provides a phase inversion method based on a focal length fixed Fresnel zone plate. Part of focal plane and de-focal plane information of wavefront can be collected at the same time at the same position in the far field, only one frame of image is needed, the method based on the Fresnel zone plate is simple in components and is portable, accurate phase inversion can be realized on the basis of the single-frame far-field image, and the calculating speed and the precision are high.

The invention provides a vibration detection and remote sensing image recovery method based on single-exposure video reconstruction. The method includes the steps of dividing the exposure time into a plurality of equal time durations, conducting encoding exposure on each pixel of a plurality of small blocks at the edge of a detector according to the single-exposure video reconstruction method based on the compression sensing principle to obtain modulated blurred image blocks, reconstructing a clear video image through a reconstruction algorithm, estimating inter-frame image motion according to the reconstructed video image, estimating a point spread function, finally conducting deconvolution on unmodulated blurred images through the point spread function, eliminating the vibration influences of a platform, and obtaining a clear remote sensing image. By means of the method, the problems that a traditional image deblurring method based on compression sensing is long in time and high in complexity are solved, and instantaneity is better achieved; meanwhile, compared with an ordinary blind restoration method, the method has higher restoration accuracy.

A method for restoring and denoising underwater image is provided. A single underwater image restoration algorithm is provided based on non-local prior. The dark channel priori algorithm is used to estimate the background light of the scene, and then a non-local priori model satisfying the imaging characteristics of underwater images is constructed by using the relationship between the wavelengthof the color light and the scattering coefficient, and the transmittance of different color light is estimated accordingly. The image is then optimized by pilot filtering, and the restoration and denoising characteristics are synchronously achieved. Finally, we use the guided filter to thin the transmittance and solve the minimal optimization problem of image restoration and perform denoising, andget the clear restoration results. On the basis of ensuring the operation efficiency, the invention effectively removes noise and can be effectively used in the engineering practice of underwater image restoration and denoising.

A power transformer winding deformation reverse acquisition method based on topological optimization includes the steps of building an equivalent circuit model of a transformer winding and acquiring afrequency response function of the equivalent circuit model of the transformer winding, calculating flexibility of the frequency response function of the equivalent circuit model to element parameters, correcting parameter of a simulated equivalent circuit model according to the frequency response function obtained through test, and performing reverse acquisition on deformation status of the transformer winding by a topological optimization method based on a flexible deformation unit. High calculated amount generated in the process of directly utilizing electromagnetic field finite elements to calculate the frequency response function is avoided and correction efficiency is improved; besides, the topological optimization method is introduced to perform visual reduction on the deformed winding, and thus the winding deformation acquisition precision is improved.

The invention discloses a method for restoring a moving track of a hand in the air by using a radio signal, which is free from a special sensor and is used for detecting and restoring a writing trackof a finger in the air by using the radio signal of existing communication equipment. One signal transmitting device Tx and two signal receiving devices Rx are placed, each receiving device is provided with at least two antennas, and no barrier exists between the Tx and the Rx. The hand does not need to wear any equipment. The moving area of the hand in air is interior of a square area defined byTx-Rx1 and Tx-Rx2. A radio signal is disturbed by using the movement of the hand, wireless channel changes on a plurality of receiving antennas are measured and extracted, and then the movement trackof the hand in the air is calculated. According to the method, the channel CSI value acquired by the existing wireless communication equipment is utilized, and extra hardware equipment or hardware change is not needed, so that the cost is saved. The application range is wide. Accurate tracking can be carried out, and the track restoration precision is high. Real-time continuous operation can be achieved, and convenience and practicability are achieved.

The invention provides a data collection method base on compression sensing in wireless sensor network environment monitoring. The principles which the data collection method is based on are compression sensing and time sequence prediction. The collection probability and the work / dormancy duty ratio can be dynamically adjusted through collected environmental data so as to achieve the purpose of using least data collection to recover the total environment with given accuracy requirements. The data collection method is easy to implement, high in recovery accuracy, small in data collation amount and small in energy and stored resource consumption.

The invention discloses a damage detection method and system for a multilayer composite material. The method comprises the following steps that: the material parameters of a composite material to be detected are acquired; the ultrasonic reflection signals and ultrasonic transmission signals of the composite material to be detected are acquired, wherein the ultrasonic reflection signals are signals collected by the upper probe of an ultrasonic detection instrument, and the ultrasonic transmission signals are signals collected by the lower probe of the ultrasonic detection instrument; matching pursuit decomposing is performed on the ultrasonic reflection signals and the ultrasonic transmission signals through an improved matching pursuit method, so that the characteristic information of the ultrasonic reflection signals and the ultrasonic transmission signals are obtained; a BP neural network model is adopted to obtain the damage layer parameters of the composite material to be detected according to the material parameters of the composite material to be detected, and the characteristic information of the ultrasonic reflection signals and ultrasonic transmission signals; and the depth and thickness of the damage layer of the composite material to be detected are determined according to the damage layer parameters. With the damage detection method and system for the multilayer composite material of the invention adopted, the efficiency and precision of damage detection can be improved.

The invention discloses a correction method for poor image elements of a space and time united modulating type interference imaging spectrometer. The correction method for the poor image elements comprises step one, obtaining positions of all poor image elements in the space and time united modulating type interference imaging spectrometer; step two, obtaining images which comprise interested target ground feature points through the space and time united modulating type interference imaging spectrometer; step three, generating into a data cube due to data processing; step four, confirming poor point positions; step five, obtaining data cube data of an area in which interested ground features are arranged and performing interpolation correction on poor image element positions; step six, recovering to obtain spectrums of the interested target ground feature points. The correction method for the poor image elements integrates data of the space and time united modulating type interference imaging spectrometer into the three-dimensional data cube, fully utilizes two space dimension and one spectrographic dimension datum, improves the interpolation accuracy of the poor image elements and weakens extracted interference data distortion of the interested target points.

A transmission / reception unit transmits an ultrasonic wave to a subject via the ultrasonic probe, receives an ultrasonic wave reflected by the subject, and outputs an echo signal corresponding to the received ultrasonic wave. A first volume data generating unit generates first volume data based on the echo signal. A second volume data generating unit generates second volume data by applying, to each voxel contained in the first volume data, three-dimensional filtering with a filtering characteristic corresponding to three-dimensional directivity of the voxel. An image data generating unit generates data of a two-dimensional ultrasonic image based on the second volume data.

The invention provides a method and device for generating an action instruction of a virtual object model, electronic equipment and a storage medium, and relates to the field of image processing. According to the method provided by the embodiment of the invention, when the three-dimensional coordinates of the skeleton of the target unit are calculated, the two-dimensional coordinates of the multiple frames of two-dimensional action images are used for cooperative calculation. The conditions (two-dimensional coordinates of different frames) of other frames with similar shooting time are considered during calculation, therefore, the finally calculated three-dimensional coordinates of the frame of image and the three-dimensional coordinates of the adjacent image are not easy to generate coordinate mutation. Therefore, after the virtual object model control instruction is generated according to the calculated three-dimensional coordinates, when the virtual object model is driven to act through the control instruction, the action of the virtual object model is smoother and more natural. That is to say, the method provided by the invention can enable the action of the virtual object model to be closer to the action of the actual target unit to a greater extent, and improves the action restoration precision.

An image pickup apparatus according to one aspect of the invention includes: an imaging lens configured to perform a phase modulation function to extend a depth of field; a color image pickup element configured to convert an optical image which passes through the imaging lens and is formed on the image pickup element into an electric signal, the image pickup element having primary filters of three primary colors arranged for respective pixels in a predetermined pattern; and a restoration processing device configured to perform filtering processing using a single restoration filter on color signals corresponding to the primary filters of the three primary colors outputted from the color image pickup element, the restoration filter being an inverse function of a point spread function obtained when the phase modulation is performed by the imaging lens.

The invention discloses an image processing method and device, electronic equipment and a computer readable storage medium. The image processing method comprises the steps: obtaining an original highdynamic range image; performing nonlinear transformation on the original high dynamic range image to obtain a nonlinear transformation image; and compressing the pixel value of each pixel point in thenonlinear transformation image to be between 0 and 1 to obtain a target high-dynamic-range image. According to the embodiment of the invention, an original high-dynamic-range image is converted intoa nonlinear transformation image; the pixel value of each pixel point in the nonlinear transformation image is compressed to be between 0 and 1; and the pixel value of the target high dynamic range image is kept between 0 and 1, so that the image storage space can be reduced, and the restoration precision of the high dynamic range rendering effect can be improved under the condition that the bandwidth of the image processor is limited, and the bandwidth consumption of the image processor can be saved by a half while the high dynamic range rendering effect precision can be approximately restored.

The invention relates to an optical system imaging recovering method based on a light intensity transmission matrix. The optical system imaging recovering method includes the steps that S1, each row of elements in a two-dimensional image matrix are sequentially connected end to end and arrayed to be one-dimensional image vectors; S2, according to a PSF matrix of an optical system and the one-dimensional image vectors, the two-dimensional light intensity transmission matrix of the optical system is solved, and inversion mathematical calculation is carried out on the two-dimensional light intensity transmission matrix to obtain a two-dimensional light intensity transmission inverse matrix; S3, the one-dimensional image vectors are multiplied with the two-dimensional light intensity transmission inverse matrix to obtain one-dimensional recovering object vectors, and two-dimensional processing is carried out on the one-dimensional recovering object vectors to obtain a two-dimensional recovering object matrix. Imaging is recovered through matrix operation, the ill-conditioned problem of a deconvolution method and the high frequency missing problem of a frequency domain recovering method in the previous imaging recovering technology are avoided, the error between the recovering object matrix and an original object matrix is very small, and therefore the recovering accuracy is high.

The invention relates to an ancient lake water depth quantitative reduction method which comprises the following steps: establishing a quantitative relation between geochemical elements and actual lake water depth through a modern lake investigation means and lake bottom surface mudstone collection and analysis, and optimizing an optimal element of a fitting formula; meanwhile, inheritance and comparability of organisms are fully utilized, the water depth environment in which the organisms live serves as a link for determining environmental variable parameters between a modern lake and an ancient lake, and then a computational formula for restoring the water depth of the ancient lake is quantitatively reconstructed; in order to verify the accuracy of quantitatively restoring the paleo-water depth, the relative paleo-water depth restored by the sand-to-soil ratio method and the Fischer diagram method is compared with an agaricus bisporus climate change curve, the verification result shows that the change trend is kept consistent, and the reasonability and effectiveness of the method are proved.

The invention discloses a blind face restoration method and system, and the method comprises the steps: collecting a blind face data set, evaluating the quality of the blind face data set through theLaplace gradient, and removing blurred and non-face images; enhancing image data for the blind face data set, and randomly distributing to obtain a training set and a test set; constructing an AFFNetnetwork; inputting the images of the training set into an AFFNet network, training the AFFNet network in combination with a reconstruction loss function, a perception loss function, a style loss function and a resistance loss function, and training and optimizing the AFFNet network by using an SGD optimization algorithm to obtain an optimal blind face restoration model; and inputting the image ofthe test set into the optimal blind face restoration model, and carrying out matching and selection to obtain an image with the highest accuracy as a final retrieval result. According to the scheme, the method has the advantages of being simple in logic, accurate, reliable and the like, and has high practical value and promotional value in the technical field of image processing.

The invention discloses an intelligent image splicing algorithm fusing shape characteristics with colors, and a system thereof; the method comprises the following steps: extracting fragment edge characteristic points; using edge characteristic points to form a curve; splicing according to similarity and color characteristics between said curve and different fragment edge curves; restoring an original image. The intelligent image splicing algorithm can effectively splice fragments of different rules, can use the fragment edge characteristics to build an edge contour, and can carry out similarity measurements of different fragments according to the edge contour and the color characteristics, thus improving the image restoration precision, and satisfying usage demands.

The present invention provides a method for restoring road traffic scenes and driver's driving behavior based on multi-sensing data. Through the fusion of multi-sensing data and multi-restoration algorithms, the accurate restoration of road traffic scenes and driver's driving behavior is realized, specifically including: Mutual correction of multi-source data to achieve accurate restoration of vehicle trajectory; based on monocular vision and millimeter-wave radar to achieve accurate measurement of obstacle speed and distance; multi-source data fusion generation <道路交通场景，驾驶行为>data pairs. The invention overcomes the disadvantages of single data source in the existing restoration technology, relatively high-quality data obtained by relying on expensive equipment, and low restoration precision.< / 道路交通场景，驾驶行为>

The invention discloses a craniofacial reconstruction method comprising the following steps: building a 3D craniofacial database, wherein the 3D craniofacial database at least includes N craniofacial samples, N is a positive integer greater than 1, and each craniofacial sample includes a craniofacial model composed of a 3D skull model and a 3D face model as well as the attribute corresponding to the craniofacial model; determining the association relationship between the 3D face models and the 3D skull models and the attributes based on the N craniofacial samples; and acquiring a 3D skull model to be reconstructed and the corresponding attribute thereof, and reconstructing a 3D face model corresponding to the 3D skull model to be reconstructed according to the association relationship. By using the method of the invention, the reconstruction precision can be improved.

The invention discloses a correction method for poor image elements of a space and time united modulating type interference imaging spectrometer. The correction method for the poor image elements comprises step one, obtaining positions of all poor image elements in the space and time united modulating type interference imaging spectrometer; step two, obtaining images which comprise interested target ground feature points through the space and time united modulating type interference imaging spectrometer; step three, generating into a data cube due to data processing; step four, confirming poor point positions; step five, obtaining data cube data of an area in which interested ground features are arranged and performing interpolation correction on poor image element positions; step six, recovering to obtain spectrums of the interested target ground feature points. The correction method for the poor image elements integrates data of the space and time united modulating type interference imaging spectrometer into the three-dimensional data cube, fully utilizes two space dimension and one spectrographic dimension datum, improves the interpolation accuracy of the poor image elements and weakens extracted interference data distortion of the interested target points.

The invention discloses a dancing dynamic image capturing and restoration system based on a flexible sensor, and a control method. The system comprises an image capturing system, an AGPS main system,AGPS subsystems, a synchronization module, a flexible sensor, a data analysis module, and an image restoration and data outputting system. The synchronization module is connected with the image capturing system, the AGPS main system and the image restoration and data outputting system. The data analysis module is connected with the image restoration and data outputting system, and the AGPS subsystems are disposed at four corners of a stage. The flexible sensor is carried by a performer. According to the invention, the AGPS positioning and the flexible sensor are combined together to obtain thereal-time motion information of the performer, and then the synchronization module carries out the synchronization of a captured image with the real-time motion information. Meanwhile, the data analysis module is used for analyzing the sign information of the performer, and finally the image is restored and the data is outputted. The system can enable a photographing range to be wider, enables the feedback information to be more abundant, and enables the restoration effect to be more vivid.

The invention discloses a computing imaging system and method. The computing imaging system comprises: a CCD camera with a single lens, a data communication interface, a first controller, a memory anda second controller; the data communication interface is connected to the CCD camera; the first controller is connected to the data communication interface; the memory is connected to the first controller; and the second controller is connected to the first controller and the memory separately. The invention simplifies the optical-mechanical structure of an existing front lens through the above arrangement, and does not need to use a computer for image restoration; therefore, overall light-weight trend is realized, and recovery accuracy is improved.

The invention discloses a shooting track representation system capable of representing a shooting track instantly and a shooting track representation method based on the system. The shooting track representation system comprises a target device and a display device. A target surface is arranged on the target device and composed of a photosensitive plate. A first MCU, a first Bluetooth module and a camera are arranged in the target device. The photosensitive plate, the first Bluetooth module and the camera are all connected with the first MCU. The display device comprises a liquid crystal display, a second MCU, a storage module and a second Bluetooth module, wherein the liquid crystal display, the storage module and the second Bluetooth module are all connected with the second MCU. The first MCU is further connected with an image recognition module, and the second MCU is connected with a data storage module. The shooting track representation method comprises the step of laser emission, the step of photo processing, the step of obtaining the position of a laser point on the target surface, the step of sending the laser point, and the step of track visualization. The shooting track representation system and method can be applied to the shooting field.

The invention discloses a damage detection method and system for a multilayer composite material. The method comprises the following steps that: the material parameters of a composite material to be detected are acquired; the ultrasonic reflection signals and ultrasonic transmission signals of the composite material to be detected are acquired, wherein the ultrasonic reflection signals are signals collected by the upper probe of an ultrasonic detection instrument, and the ultrasonic transmission signals are signals collected by the lower probe of the ultrasonic detection instrument; matching pursuit decomposing is performed on the ultrasonic reflection signals and the ultrasonic transmission signals through an improved matching pursuit method, so that the characteristic information of the ultrasonic reflection signals and the ultrasonic transmission signals are obtained; a BP neural network model is adopted to obtain the damage layer parameters of the composite material to be detected according to the material parameters of the composite material to be detected, and the characteristic information of the ultrasonic reflection signals and ultrasonic transmission signals; and the depth and thickness of the damage layer of the composite material to be detected are determined according to the damage layer parameters. With the damage detection method and system for the multilayer composite material of the invention adopted, the efficiency and precision of damage detection can be improved.

The invention discloses a method for restoring the original design of a bright circular polished gemstone by using an image processing technology. The method includes the steps that S1, an image collecting system is used for collecting front view images at various angles of the gemstone to be restored, and each frame of front view image is further obtained; S2, an image processing method is used for extracting edge feature points of all the frames of front view images in the S1; S3, the edge feature points in the S2 are calculated, and the edge feature points of all the frames of front view images are screened; S4, the edge feature points screened in the S3 are used as parameters to be input to three-dimensional software so that three-dimensional modeling can be conducted, and thus the original design of the gemstone can be restored. According to the method for restoring the original design of the bright circular polished gemstone by using the image processing technology, only a small amount of digital graphical information of the gemstone to be restored needs to be processed, a three-dimensional model of the original design of the gemstone can be restored, and the advantages of being high in restoring precision, high in efficiency and strong in practicability are achieved.

The invention relates to a three-dimensional image restoration method and a device thereof, computer equipment and a storage medium. The method comprises the following steps: acquiring a first three-dimensional image; inputting the first three-dimensional image into a preset image restoration neural network for restoration processing to obtain a second three-dimensional image; then, according to the first three-dimensional image and the second three-dimensional image, judging whether the first three-dimensional image has a shielded part or a shadow part; and if the first three-dimensional image has the shielded part or the shadow part, outputting a second three-dimensional image. By adopting the method, three-dimensional image restoration can be carried out on the target, whether shielding or shadow exists in the real three-dimensional image or not is judged, then when it is judged that shielding or shadow exists in the real three-dimensional image, the restored three-dimensional image is selected to be output according to the judgment result, and therefore the purpose of improving the three-dimensional image restoration precision is achieved.