67results 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.

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 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.

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.

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 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 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.