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39 results about "Picture reconstruction" patented technology

Moving picture conversion apparatus and method, moving picture reconstruction apparatus and method, and computer program

A moving-picture conversion apparatus includes a block generator configured to generate blocks by dividing each frame forming moving picture data into the blocks, an amount-of-movement detector configured to detect an amount of movement of a subject corresponding to each block generated by the block generator, a block processor configured to receive the blocks generated by the block generator and information concerning the amount of movement detected by the amount-of-movement detector to perform decimation processing on the blocks, and a packing processor configured to receive the blocks decimated by the block processor to generate a packed block including pixel data forming the decimated blocks. The packing processor generates a packed block by correcting positions of pixels forming the packed block substantially to relative positions of the corresponding pixels forming an original image.
Owner:SONY CORP

Emotion recognition method and system based on deep learning model and long-short memory network

The invention discloses an emotion recognition method and system based on a deep learning model and a long-short memory network, The method comprises the following steps: data preprocessing and data set partitioning of EEG signals are performed to construct a network model, wherein the network model comprises a picture reconstruction model composed of a variational encoder and an emotion recognition model composed of a long-short memory network; the network model comprises an image reconstruction model composed of a variational encoder and a short-long memory network; The objective function isconstructed according to the network model. The network model is trained by training set, and the objective function is optimized by Adam optimizer in neural network, and the trained network model isobtained. Using the cross-test set to cross-test the trained network model, determining the super-parameters of the network model, and obtaining the final network model; and using the final network model to visualize the seed data and perform emotion recognition. The invention relies on the data artificial intelligence method to learn the collected EEG signal space and time complex structure, reduce the subjective factors in the prediction, and improve the prediction accuracy.
Owner:刘仕琪

Image super-resolution method and system thereof

The invention discloses a picture super-resolution method. The method comprises the following steps of: preprocessing an input picture; extracting and expressing a pixel block of the input picture byusing a convolutional network; obtaining an image detail difference value of the input picture by using the convolutional network; and realizing picture reconstruction by using a convolutional layer.According to the picture super-resolution method, the convolutional network is trained to only learn picture details, so that the information redundancy is decreased; a gradient is controlled in a certain range by adoption of gradient shearing, so that gradient explosion is prevented; and furthermore, a boundary filling operation is carried out on the periphery of the input picture, so that edge pixels of the picture also can correctly learn the picture details, and pooling layers which are commonly used in super-resolution calculation can be removed, thereby ensuring the consistency between network input and output dimensionalities.
Owner:北京花开影视制作有限公司 +2

Method and system for foot characteristic parameter to drive standard shoe tree to deform

The invention relates to a method and a system for foot characteristic parameters to drive a standard shoe tree to deform. The method comprises the following steps: generating a final shoe tree control line; generating a shoe tree surface according to the generated shoe tree control line, and boundary lines and a circumference line in the tree surface region forming the surface of each part; connecting the surfaces based on continuity and smoothness of the surfaces, so that the boundary lines of the adjacent surfaces have the same number of points and orders, and that the adjacent surfaces satisfy second-order continuity on the boundary, and singular points or superfluous inflection points do not exist, and curvature changes between the surfaces being small; meanwhile, joining the surfaceswith each other, stitching the smoothly connected surfaces with a bottom surface of the tree and the mouth surface to form a solid closed integrated body. Thus, a shoe tree model based on the foot picture reconstruction model is obtained, and for the adjusted shoe tree standard model, corresponding adjustment can be made on the reconstructed shoe tree model according to parameter correspondence among different types of standard shoe trees according to different selected footwears, shoe types, and heel heights.
Owner:东莞时谛智能科技有限公司

IP-FSRGAN-CA face image super-resolution reconstruction algorithm based on coordinate attention mechanism

In order to solve the problem of feature loss in face feature information extraction and recovery in a traditional face super-resolution image reconstruction technology, the invention provides an IP-FSRGAN-CA face image super-resolution reconstruction algorithm based on a coordinate attention mechanism (CA). Therefore, a generator is helped to learn more face feature information and synthesize a more real super-resolution face picture. When the amplification factor is 4, an LFW data set is adopted to test the model performance, and an experimental result shows that compared with IP-FSRGAN, the method has the advantages that the peak signal-to-noise ratio (PSNR) is improved by 0.14%, the structural similarity (SSIM) is improved by 0.59%, the PSNR on a Y channel is improved by 2.43%, the SSIM is improved by 0.38%, and under the measurement of the PSNR and the SSIM, the method is quantitatively superior to existing SRGAN, ESRGAN, IP-FSRGAN and other human face reconstruction methods. Experiments prove that the IP-FSRGAN-CA face image super-resolution reconstruction algorithm based on the coordinate attention mechanism provided by the invention has effectiveness in face super-resolution image reconstruction.
Owner:HENAN UNIVERSITY OF TECHNOLOGY

Bone china manufacturing method, and bone china products produced using bone china manufacturing method

The invention relates to a bone china manufacturing method, and bone china products produced using the bone china manufacturing method. The bone china manufacturing method comprises following steps: 1, powder preparation; 2, slurry preparation; 3, moulding, wherein three dimensional model data and a light-curing 3D printing equipment are adopted for product printing moulding, and washing, repairing, and drying are carried out so as to obtain a ceramic blank product, the three dimensional model data is obtained using 3D scanning technology, picture reconstruction technology, or three dimensional modeling technology, the products include, but are not limited to statues, ornaments, embossment pictures, jewelries, and daily articles; 4, sintering; and 5, glazing. According to the bone china manufacturing method,no die is needed to be prepared in advance; the period is short; the cost is low; products of a plurality of kinds and colors can be prepared; the product restoration degree is extremely high; the surface roughness of the ceramic products prepared using the bone china manufacturing method is as low as 0.8<mu>m; and no limit on structure design moulding is disclosed.
Owner:胡可辉

Product surface defect detection method, system and device and medium

The invention discloses a product surface defect detection method, system and device and a medium. The method comprises the following steps: constructing a picture reconstruction network; collecting defect-free picture method training pictures; training a picture reconstruction network by using the training picture to obtain a trained picture reconstruction network; collecting a to-be-processed product surface defect picture; inputting the to-be-processed product surface defect picture into the trained picture reconstruction network, calculating feature values of the to-be-processed product surface defect picture and the reconstructed picture, calculating a feature value difference value of the to-be-processed product surface defect picture and the reconstructed picture, and obtaining a product surface defect detection result based on the feature value difference value. According to the method, surface defect detection is carried out only by using good pictures, and the surface defectrepairing capability is learned by reconstructing the good pictures on the basis of the full convolutional neural network, so that the pixel-level recognition capability for various surface defects isachieved.
Owner:CHENGDU UNION BIG DATA TECH CO LTD

Three-dimensional reconstruction point cloud error compensation method and system based on stereoscopic vision

The invention provides a three-dimensional reconstruction point cloud error compensation method and system based on stereoscopic vision. The method comprises the following steps: obtaining pictures of a calibration plate shot from a plurality of positions, and reconstructing three-dimensional point cloud data based on the pictures; solving an actual coordinate point set based on the reconstructed three-dimensional point cloud data, taking a difference value between the actual coordinate point set and the solved theoretical point set as a reconstruction error of the point cloud, and establishing an error model; and when three-dimensional scanning reconstruction is carried out on an actual object, carrying out error compensation on point cloud data obtained by scanning by using the error model, and obtaining compensated point cloud coordinates. According to the point cloud compensation method provided by the invention, the final result three-dimensional point cloud of three-dimensional reconstruction is calibrated, the error mapping model is obtained, and the precision of three-dimensional reconstruction is improved through error prediction and compensation.
Owner:SHANDONG UNIV

Object three-dimensional reconstruction method, storage medium, terminal and system

The invention discloses a three-dimensional reconstruction method of an object, a storage medium, a terminal and a system, and belongs to the technical field of picture reconstruction 3D models. The method comprises: extracting high-dimensional features of a single picture at any angle, and restoring a first fixed view angle image of the object according to the high-dimensional features; and generating a shape mask according to the first fixed view angle image so as to generate a 3D model of the object. The system comprises a U-shaped generative adversarial network and a 3D conditional generative adversarial network. According to the method, the high-dimensional features of the single picture are extracted to restore the object fixed view angle, namely the first fixed view angle view, so that information disturbance can be reduced; the shape mask is generated according to the fixed view angle view, the three-dimensional reconstruction efficiency and accuracy can be improved, the methodis suitable for any view angle picture, the effect is vivid, and the requirement for reconstructing a 3D model in real time through a single object picture at any view angle is met.
Owner:UNIV OF ELECTRONIC SCI & TECH OF CHINA

Compressed non-reference picture reconstruction from post-processed reference pictures

A method of compressed picture reconstruction using a plurality of post-processed reference pictures. The method generally includes the steps of (A) generating a first of a plurality of reconstructed pictures by decoding a first of a plurality of compressed pictures using at least one of a plurality of non-post-processed reference pictures buffered in a reference memory, wherein the compressed pictures are received in an input bitstream, (B) generating a first of a plurality of processed pictures by artifact processing the first reconstructed picture to remove artifacts, (C) buffering in the reference memory both (i) the first reconstructed picture as one of the non-post-processed reference pictures and (ii) the first processed picture as one of the post-processed reference pictures and (D) generating a second of the reconstructed pictures by decoding a second of the compressed pictures using at least one of the post-processed reference pictures buffered in the reference memory.
Owner:AVAGO TECH INT SALES PTE LTD

Multisegment picture reconstruction for cardio ct pictures

A method for reconstructing picture data (PIC) of a cyclically-moving object from measurement data is disclosed, with the measurement data being detected beforehand for a relative rotational movement between a radiation source (C2, C4) of a computed tomography system (C1) and the object under examination during a plurality of movement cycles of the object under examination. A first picture (PIC MEAN) and a second picture (PIC SEG) are determined from the measurement data, with measurement data of different movement cycles being combined for reconstruction of the second picture (PIC SEG) into a measurement dataset to be used as the basis for the picture reconstruction. Difference information (DIF) is computed by comparing the first picture (PIC MEAN) with the second picture (PIC SEG). Using the difference information (DIF), a result picture (PIC) is computed from the first picture (PIC MEAN) and the second picture (PIC SEG).
Owner:SIEMENS HEALTHCARE GMBH

Single picture reconstruction HDR method based on multistage dual feedback

The invention discloses a single picture reconstruction HDR method based on multistage dual feedback. The method comprises the following steps: S1, inputting an LDR image; S2, reconstructing an inverse quantization image by using an inverse quantization network, and performing quantization operation on the inverse quantization image to obtain a dual quantization image; S3, performing ICRF mapping processing on the inverse quantization image to obtain a linear image, and using the same network learning CRF mapping as a dual feedback structure; S4, dividing the linear image into an overexposure area and other areas, inputting the overexposure area into the truncation information recovery network to obtain an HDR image, performing layered truncation on the HDR image, calculating truncation loss by using the truncation image, and feeding back the truncation loss to the truncation information recovery network; S5, integrally adjusting the HDR image by using a multi-scale receptive field feature extraction module and an attention mechanism. According to the method, a dual network is added for each process to form feedback, the reconstruction direction can be restrained, the reconstruction effect is improved, the model learning ability is improved, and the authenticity of the reconstructed image is enhanced.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA

Picture reconstruction method based on bill template

PendingCN112529989AImplement automatic refactoringThe effect is realistic and naturalTexturing/coloringEditing/combining figures or textPattern recognitionComputer graphics (images)
A picture reconstruction method based on a bill template comprises the following steps: a bill text embedded network being constructed and trained, bill reconstruction parameters being input, a reconstructed bill picture being output, and the process being as follows: obtaining a filling text of each text area on the bill template from a dictionary, generating a text mask picture which is represented by a binary system and consistent in size for each text region, enabling the picture to have a filling text, enabling a text pixel value to be 1 and a background pixel value to be 0, cutting out atext background picture of each text region from the bill template, and enabling the text mask picture and the text background picture to be synthesized into a text reconstruction picture, and finally, pasting all the text reconstruction pictures back to the bill template, namely reconstructing the bill picture. And a user sets bill reconstruction parameters and a reconstruction number, and inputs the bill reconstruction parameters into the trained bill text embedding network to obtain an output reconstructed bill picture. The invention belongs to the technical field of information, and can reconstruct a large number of bill pictures attached to real bills based on bill templates.
Owner:EB INFORMATION TECH

Dynamic reference picture reconstruction

The present invention provides a method for encoding a video stream. The method for encoding a video stream, includes the steps of: encoding, by a processor, a first slice of a first picture of the video stream; receiving, from a decoder, a feedback message indicative of having received the first slice of the first picture; and in response to receiving the feedback message indicative of having received the first slice of the first picture, updating a dynamic reference picture (DRR) with the first slice of the first picture, wherein the first slice of the first picture replaces the first sliceof a second picture in the dynamic reference picture, and the first slice of the first picture and the first slice of the second picture are co-located.
Owner:AGORA LAB INC

Machine vision-based virtual human-machine operation interface system and construction method thereof

The invention discloses a machine vision-based virtual human-machine operation interface system and a construction method of the system. The construction method comprises the following steps: arranging a camera just in front of a human machine interface (HMI) displayer, and enabling a camera shooting area to cover the whole HMI displayer; acquiring initial images of all sub-pictures displayed by the HMI displayer; processing the initial images of all the sub-pictures acquired in the step 2 and transmitting the picture information to a virtual HMI client side; acquiring images displayed by the HMI displayer in real time, and extracting and identifying the data by utilizing image processing and a pattern recognition algorithm; using the virtual HMI client side for combining the initial sub-picture information obtained in the step 3 and the data information obtained in the step 4 so as to carry out HMI reconstruction on the virtual HMI client side. According to the construction method, the HMI displayer is used for acquiring data, and the HMI picture reconstruction is carried out on single network, so that the bandwidth of the network where a programmable logic controller (PLC) is located is not occupied, a production side can control the monitoring time and the monitoring content of a monitoring side, and divulging of the important data can be avoided.
Owner:中冶赛迪电气技术有限公司

Display picture analysis device, system and method

The invention belongs to the field of image data processing, and discloses a display image analysis device, a system and a method. The device comprises an input interface which receives an image driving signal transmitted by a receiving card; a picture reconstruction module is used for sampling and analyzing the received picture driving signal to obtain a local display picture, and reconstructingthe local display picture to form a complete collection picture; a picture analysis module is used for analyzing the received complete collected picture, determining whether the complete collected picture contains bad information or not, generating an interception instruction if the complete collected picture contains the bad information, and generating a transparent transmission instruction if the complete collected picture does not contain the bad information; an interception switch intercepts the picture driving signal transmitted by the input interface if receiving the interception instruction, and transmits the picture driving signal in an unvarnished manner if receiving the unvarnished transmission instruction; and an output interface is used for receiving and outputting the picturedriving signal. Thus, the picture reconstruction scheme provided by the scheme can adapt to various types of display screens, and the picture containing bad information is intercepted.
Owner:北京匠数科技有限公司

Slice-level reference picture reconstruction

The present invention provides a method for encoding a video stream. The method for encoding a video stream, includes the steps of: encoding, by a processor, a first slice of a first picture of the video stream; receiving, from a decoder, a feedback message indicative of having received the first slice of the first picture; and in response to receiving the feedback message indicative of having received the first slice of the first picture, setting the first slice of the first picture as a reference slice for encoding a second picture of the video stream, wherein the second picture is encoded after receiving the feedback message.
Owner:AGORA LAB INC

Improving temporal resolution in cardiac ct

A method is disclosed for the reconstruction of picture data of a moving object under examination from measurement, with the measurement data having been recorded beforehand for a relative rotational movement between a radiation source of a computed tomography system and the object under examination. In at least one embodiment, first picture data is computed from a complete measurement dataset of the measurement data for a picture reconstruction, and second picture data is computed from an incomplete measurement dataset for a computed tomography picture reconstruction. The first picture data and the second picture data are combined into third picture data, with the combination being computed using location-dependent movement information of the object under examination.
Owner:SIEMENS HEALTHCARE GMBH

Display image reconstruction device and method

The invention belongs to the field of video data processing, and discloses a display image reconstruction device and method, and the device comprises: an input interface which is connected with at least one receiving card and is used for receiving an image driving signal transmitted by the receiving card, and wherein the receiving card converts the image information outputted by terminal equipmentinto a corresponding image driving signal; the image reconstruction module that is connected with the input interface and is used for receiving the image driving signal sent by the input interface, sampling and analyzing the image driving signal, analyzing the image driving signal into a local display image and reconstructing the local display image to form a complete acquisition image; and the output interface that is connected with the picture reconstruction module and is used for receiving and outputting the complete acquired picture sent by the picture reconstruction module. In this way,the pictures corresponding to the receiving cards can be integrated and reconstructed to acquire complete pictures, and then the reconstructed acquired pictures can be analyzed and processed more conveniently through the video analysis device.
Owner:北京匠数科技有限公司

Improved multi-segment image reconstruction for cardiac computed tomography acquisitions

ActiveCN102232842BImage enhancementReconstruction from projectionCardiac computed tomographyMulti segment
A method for reconstructing picture data of a cyclically-moving object from measurement data is disclosed, with the measurement data being detected beforehand for a relative rotational movement between a radiation source of a computed tomography system and the object under examination during a plurality of movement cycles of the object under examination. In at least one embodiment, a first picture and a second picture are determined from the measurement data, with measurement data of different movement cycles being combined for reconstruction of the second picture into a measurement dataset to be used as the basis for the picture reconstruction. Difference information is computed by comparing the first picture with the second picture. Using the difference information, a result picture is computed from the first picture and the second picture.
Owner:SIEMENS HEALTHCARE GMBH

Compressed non-reference picture reconstruction from post-processed reference pictures

A method of compressed picture reconstruction using a plurality of post-processed reference pictures. The method generally includes the steps of (A) generating a first of a plurality of reconstructed pictures by decoding a first of a plurality of compressed pictures using at least one of a plurality of non-post-processed reference pictures buffered in a reference memory, wherein the compressed pictures are received in an input bitstream, (B) generating a first of a plurality of processed pictures by artifact processing the first reconstructed picture to remove artifacts, (C) buffering in the reference memory both (i) the first reconstructed picture as one of the non-post-processed reference pictures and (ii) the first processed picture as one of the post-processed reference pictures and (D) generating a second of the reconstructed pictures by decoding a second of the compressed pictures using at least one of the post-processed reference pictures buffered in the reference memory.
Owner:AVAGO TECH INT SALES PTE LTD

A product surface defect detection method, system, device and medium

The invention discloses a product surface defect detection method, system, device and medium, comprising: constructing a picture reconstruction network; collecting training pictures for a defect-free picture method; using the training pictures to train the picture reconstruction network to obtain the trained picture reconstruction network; collect pictures of surface defects of products to be processed, input the pictures of surface defects of products to be processed into the image reconstruction network after training, calculate the eigenvalues ​​of pictures of surface defects of products to be processed and reconstructed pictures, and calculate surface defects of products to be processed The difference between the eigenvalues ​​of the picture and the reconstructed picture, the product surface defect detection result is obtained based on the difference of the eigenvalues; the present invention only uses the good picture for surface defect detection, and the present invention is based on the full convolutional neural network, by reconstructing the good picture. Learn the ability to repair surface defects, so as to achieve pixel-level recognition capabilities for various surface defects.
Owner:CHENGDU UNION BIG DATA TECH CO LTD

Medical picture fusion imaging colposcopy training system and picture reconstruction method

The invention provides a medical picture fusion imaging colposcopy training system and a picture reconstruction method, the medical picture fusion imaging colposcopy training system comprises an information acquisition module, an image processing module, an information matching module and an information output module, the information acquisition module comprises a picture acquisition interface and a medical record input interface; the image processing module converts the two-dimensional microscopic image into a three-dimensional reconstruction image, and the three-dimensional reconstruction image is numbered and stored; the information matching module matches the medical record information with the three-dimensional reconstruction image; and the information output module outputs the corresponding three-dimensional reconstruction image and medical record information. According to the colposcope examination training system based on medical picture fusion imaging and the picture reconstruction method, the learning curve of the colposcope can be remarkably shortened, non-clinical learning of the colposcope is realized, the combination of images and cases is realized through the establishment of the picture library and the case library, and the learning of primary diagnosis and processing is directly performed; the method is helpful for a beginner to repeatedly learn in real time, and the learning skill can be quickly improved in a short time through learning of a large number of cases.
Owner:郑州大学第三附属医院

Pixel-level video configuration method

PendingCN113014867ATo achieve the purpose of infinite refactoringAvoid restrictionsTelevision system detailsColor television detailsEngineeringControl room
The invention aims to disclose a pixel-level video configuration method, and compared with the prior art, the content holding of a DCS on a display picture output end is avoided, a plurality of existing single pictures are arbitrarily cut, and the cut images are arbitrarily spliced into a new picture in real time; according to the method, the processes of picture reconfiguration, downloading, publishing and the like through traditional DCS software are avoided, the display content of the existing DCS software is not damaged, and the purpose of infinite picture reconstruction is achieved through recombination of video sources of the display terminal; based on dynamic video calling of the virtual display card, cross-platform video output calling is achieved, limitation of fixed video output of a DCS platform is avoided, the video control right is transferred to the virtual display card and a corresponding driver to be achieved, and therefore infinite and intelligent display is achieved; the method can be applied to a main control room operation station VDU and a large-screen display system, the display content of a video terminal is enriched, the autonomy and flexibility of an operator are expanded, and the purpose of the invention is achieved.
Owner:SHANGHAI NUCLEAR ENG RES & DESIGN INST CO LTD +1

Model training method and device, search method and device, electronic equipment and storage medium

The invention provides a model training method and device, a search method and device, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence, in particular to the fields of deep learning, computer vision, intelligent search and the like. According to the specific implementation scheme, a sample picture is input into a to-be-trained first model; performing global feature extraction, local region identification and sample picture reconstruction on the sample picture in the first model to obtain a target loss function; and training the first model according to back propagation of the target loss function to obtain a trained second model. According to the invention, the searching speed is fast, and the precision is high.
Owner:BEIJING BAIDU NETCOM SCI & TECH CO LTD

Pose Estimation Method Based on Multi-eye Vision Measurement and Laser Point Cloud Map Matching

The invention discloses a pose estimation method based on multi-eye vision measurement and laser point cloud map matching, referred to as a multi-eye laser pose estimation method. The number is at least three, and each camera shares the view with at least two other cameras. When three or more cameras are placed on the same straight line, the straight line must intersect with the approximate plane of the environment space restored by two of the cameras. . Obtain pictures with common view area, reconstruct the approximate plane, restore the error distribution information of the environment space before and after the approximate plane, calculate the real distance from the approximate plane to the camera, and obtain the multi-eye vision measurement model. For the laser point cloud map, marginalize the overfitting model, redistribute the points of the marginalized model, and generate a continuous function model of the point cloud. Based on the surface scanning principle, the multi-eye vision measurement model and the continuous function model of the point cloud are aligned and registered to realize pose estimation.
Owner:ZHEJIANG UNIV

A display screen reconstruction device and method

The present application belongs to the field of video data processing, and discloses a display screen reconstruction device and method, wherein the device includes: an input interface connected to at least one receiving card for receiving a picture driving signal sent by the receiving card, wherein the receiving The card converts the picture information output by the terminal device into the corresponding picture driving signal; the picture reconstruction module is connected to the input interface, used to receive the picture driving signal sent by the input interface, sample and analyze the picture driving signal, and analyze it into a partial display The screen is used to reorganize the partial display screen to form a complete collection screen; the output interface is connected to the screen reconstruction module for receiving and outputting the complete collection screen sent by the screen reconstruction module. In this way, the pictures corresponding to each receiving card can be integrated and reconstructed into a complete captured picture, which makes it easier to use the video analysis device to analyze and process the reconstructed captured picture.
Owner:北京匠数科技有限公司

Infrared small target detection method based on multi-angle prior analysis

PendingCN114882231AAvoid missingSolve the problem of different degrees of shrinkage of the targetCharacter and pattern recognitionPattern recognitionRadiology
The invention discloses an infrared small target detection method based on multi-angle prior analysis, and the method comprises the specific steps: 1, carrying out the preprocessing of an original image, obtaining a gray image, and constructing a fragmentation tensor model of the original image; 2, filtering the grayscale image through a corresponding directional derivative model, and constructing a corresponding fragment tensor; step 3, adding a local structure weight to the grayscale image; 4, separating a target from a background; and step 5, picture reconstruction and target detection. According to the method, multi-direction prior analysis is provided, the target is enhanced in a re-weighting mode, and the target in the infrared image is accurately detected in a severe environment lacking texture information and space structure information, so that the false alarm rate is reduced. According to the method, in the small target detection process, the balance relation between the suppression background and the enhancement target is emphasized, that is, the information of the target edge is reserved while the background edge is obtained and suppressed.
Owner:NANJING UNIV OF POSTS & TELECOMM

Single-photon compression recognition system based on binary neural network and using method thereof

The invention belongs to the technical field of single photon imaging, and particularly relates to a single-photon compression identification system based on a binary neural network and a using methodthereof, the single photon compression identification system comprises a binary compression sampling sub-network and an identification sub-network, a weight matrix of the binary compression samplingsub-network is a binary matrix composed of + 1 and 1, and the binary compression sampling sub-network is a binary matrix composed of + 1 and 1. The '+ 1' and the '1' are respectively used for modulating forward turning and reverse turning of a DMD micromirror in the single-pixel imaging system; the identification sub-network is used for carrying out dimension compression and expansion on the measurement value matrix and completing category identification to obtain an identification result, and the weight of the identification sub-network is obtained by network training. According to the invention, the identification speed is faster; the invention can complete the recognition of images without image reconstruction, is higher in recognition accuracy, and can maintain the higher recognition accuracy under the condition of extremely low sampling rate.
Owner:NANCHANG UNIV

Intelligent picture reconstruction method and device, computer equipment and storage medium

The embodiment of the invention discloses an intelligent picture reconstruction method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining a frame set A of an input video, and processing frame pictures in the frame set A according to a preset interval to generate a corresponding saliency map set B; generating a numerical value Ci according to the central value of the saliency map Bi, and generating a first array C according to the numerical value Ci, wherein the first array C={C1, C2,..., Ci}, and if Bi=0, Ci=0; assigning a zero value in the first array C, and smoothing the assigned first array C to obtain a central value array F; and outputting the significant central regions of all the frames according to the central value array F. According to the invention, the efficiency of intelligent picture reconstruction can be improved.
Owner:SHENZHEN WONDERSHARE SOFTWARE CO LTD
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