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57 results about "Image cube" patented technology
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Human behavior identification method based on three-dimensional convolutional neural network and transfer learning model
ActiveCN107506740AImprove accuracyImprove detection accuracyCharacter and pattern recognitionMachine learningHuman behaviorData set
The present invention relates to a human behavior identification method based on a three-dimensional convolutional neural network and a transfer learning model. The method comprises: performing sampling frame by frame of video, stacking obtained continuous single-frame images on a time dimension to form an image cube with a certain size, and taking the image cube as the input of the three-dimensional convolutional neural network; performing training of a basic multi-classification three-dimensional convolutional neural network model when implementation is performed, selecting part of classes of input samples from a test result to construct a sub-data set, training a plurality of dichotomy models on the basis of the sub-data set, and selecting a plurality of models with the best dichotomy result; and finally, employing the transfer learning to transfer the knowledge learned by the models to an original multi-classification model to perform retraining of the transferred multi-classification model. Therefore, the multi-classification identification accuracy is improved and human behavior identification with high accuracy is realized.
Owner:BEIHANG UNIV
Systems, methods and apparatus for compressing video content
ActiveUS20170295356A1Geometric image transformationDigital video signal modificationOctahedronWide field
Apparatus and methods for characterizing panoramic content, such as by a wide field of view and large image size. In one implementation, a panoramic image may be mapped to a cube or any other projection e.g icosahedron or octahedron. The disclosure exploits content continuity between facets, such as in the case of encoding / decoding cube-projected images. One facet may be encoded / decoded independently from other facets to obtain a seed facet. One or more transformed versions of the seed facet may be obtained; e.g., one corresponding to a 90° counterclockwise rotation, another to a 90° clockwise rotation, and one to an 180° rotation. Transformed versions may be used to form an augmented image. The remaining facets of the cube may be encoded using transformed versions within the augmented image. Continuity between transformed facets in the top row of the augmented image and facets in the middle row of the augmented image may be utilized for motion or intra prediction, and to obtain greater encoding performance compared to encoding facets independently.
Owner:GOPRO
Migration Velocity Analysis of Seismic Data Using Common Image Cube and Green's Functions
InactiveUS20110320180A1Seismic signal processingSpecial data processing applicationsAnalysis dataData set
Seismic data are assembled and stored for a set of cross-correlation lag times to form an array of common image gathers over depth levels of interest. The two dimensional gathers assembled over different lag times form a three-dimensional cube of common image data. The data are analyzed to determine the travel time shift required to equalize upgoing and downgoing wavefields. Events in the common image gathers are then modeled using Green's functions to generate a data set representing the data resulting from processing had a precise velocity model been obtainable from the seismic data. The generated data are then processed with inversion techniques to form a velocity model for seismic data analysis.
Owner:SAUDI ARABIAN OIL CO
System for rebuilding spectrum of high spectrum intervention data and method thereof
ActiveCN101598798AUniform lightAvoid demandElectromagnetic wave reradiationApodizationImaging spectrometer
The invention relates to a system for rebuilding spectrum of high spectrum intervention data and a method thereof. Based on the interference imaging mechanism of an HJ-1A high spectrum camera, the system adopts a particular data processing method to rebuild intervention data into spectrum data, which solves the practical engineering problems in processing ground system building data. The system comprises a relative radiation correction unit, an interference data de-noising unit, an apodization processing unit, a spectrum recovering unit and a spectrum checking unit; wherein, the spectrum recovering unit converts an interference data cube into a spectrum image data cube by the symmetrization processing of interference data; the spectrum checking unit carries out wavelength positioning to a real object spectrum image cube by checking the position of the characteristic spectral line of an imaging spectrometer. The technical scheme of the invention fills the blank of data processing of satellite-bone interference imaging spectrometers in China, and satisfies user demand for the data of satellite-bone interference imaging spectrometers.
Owner:CHINA CENT FOR RESOURCES SATELLITE DATA & APPL
Noninvasive detection of elements and/or chemicals in biological matter
InactiveUS20100185067A1Lower Level RequirementsEffectively canceling out the spectral response of the light source and the imagerRadiation pyrometrySpectrum investigationSpectral responseReference image
A method of detecting oxygen and / or chemical content in a subject, comprising generating at least one spectral image of the subject; generating at least one spectral image of a reference object; comparing spectrum from the subject image to the reference image to thereby reveal the relative oxygen content of the subject. A system for determining the level of oxygenation of the blood of a subject body part comprising: a hyperspectral image generator for generating a plurality of spectral images; an image capture device for capturing the spectral images; a processor for generating hyperspectral image cubes such that the spectrum of the body part is extracted and normalized using the spectrum from the reference object to cancel out the spectral response of the light source and the imager; said processor comparing spectral from a subject image to reference images to thereby reveal the relative oxygen content of the subject.
Owner:ARMY US SEC THE THE
Rock core microscopic various light spectrum image-forming information comprehensive processing method
ActiveCN101339131AHigh utility valueRaman scatteringColor/spectral properties measurementsColor imageFluorescence microscope
The invention discloses a comprehensive processing method of multi-spectral imaging information of core microscopy, which is used for comprehensively analyzing and processing the multi-spectral imaging data of the microscopic fluorescence, infrared and Raman of the core with oil in the geological logging of oil. At first, the color image of full color light of the polished section of the core is acquired with the fluorescence microscope; the three-spectral imaging analysis system of the microscopic fluorescence, infrared and Raman is then used for measuring the core sample in the geological logging to acquire the corresponding imaging ''spectral cube'' or spectral ''image cube''; the pixel level blending technology is used for data processing and comprehensive analysis of the three-spectral imaging information; a DWT is used for transforming; noise in the image is eliminated; the sub-images of each level are blended in a weighing way; the DWT is used for inverse transformation to acquire the blended multi-spectral image. The experiment has proven that the data blending technology of the spectral information of the image formed by multi microscopic spectra has higher practical value in the mineralogy, petrology and geochemistry of the core, when compared with each independent spectral imaging method.
Owner:BC P INC CHINA NAT PETROLEUM CORP +1
System for guiding users to formulate and use object extraction rules
InactiveUS7020326B1Describe wellCharacter and pattern recognitionSpecial data processing applicationsGraphicsGraphical query
A method of training a user to identify an object in an image, by querying a computer system having a lexicon of photo-interpreters to formulate object extraction rules. A database to be queried by an expert photo analyst is generated and a programming language is provided to generate extraction rules against that database. Graphical query results are displayed to determine whether an object has been identified. First, a hyperspectral image cube is represented by a set of fraction planes and texture transforms. Mean spectral reading values are obtained and used to build a pseudo multivariate distribution of the values. Recognizable features are then extracted from the hyperspectral image cube. A textural transform of a hyperspectral image cube results. The hundreds of image bands reduced to a few texture transforms can be used to train users of the image recognition system.
Owner:HSU SHIN YI
Method for fusing multi-scale spectrum projection remote sensing images
InactiveCN101916435AQuality improvementHigh practical valueImage enhancementImage resolutionHigh spatial resolution
The invention relates to a method for fusing multi-scale spectrum projection remote sensing images. The method comprises the following steps of: performing accurate space aligning on the original panchromatic image and the original multispectral image; generating a Gauss image cube consisting of the original multispectral image of each waveband with a low space resolution and the original panchromatic image with a high space resolution by introducing an improved Gauss scale space theory; extracting the spectral characteristics of the multispectral image of each waveband and the panchromatic image by using the laminar image of the Gauss image cube; and projecting the spectral characteristics onto the original panchromatic image according to a weighted fusion strategy to obtain a fused multispectral image having the high space resolution and a high spectral resolution. The method has the advantages of increasing the space resolution of the image, keeping the spectral information of the original multispectral image to the maximum extent, acquiring a better balance between the space resolution and the spectral resolution and obtaining the fused image with higher quality and practical value.
Owner:WUHAN UNIV
Injurious insect image automatic recognition method and system based on deep restricted Boltzmann machine
InactiveCN104091181AImprove robustnessHigh practical application valueCharacter and pattern recognitionRestricted Boltzmann machineRestrict boltzmann machine
The invention relates to an injurious insect image automatic recognition method based on a deep restricted Boltzmann machine. The method comprises a training process and a testing process. According to the training process, data of a training image set are preprocessed, preprocessed training images are grouped to construct a training image cube, features of each training image group are extracted through a restricted Boltzmann machine algorithm, and trained training image set feature data are obtained through feedback adjustment. According to the testing process, a test image to be recognized is input and is preprocessed, features of the test image are extracted through the restricted Boltzmann machine algorithm, and feature data of the test image with small errors are obtained through feedback adjustment; the varieties of injurious insects are recognized, and a preventive method is given out. The invention discloses an injurious insect image automatic recognition system based on the deep restricted Boltzmann machine. The injurious insect recognition rate and procedure robustness are improved, and the actual application value of injurious insect recognition in agricultural production is improved.
Owner:HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
Noninvasive detection of elements and/or chemicals in biological matter
InactiveUS8218143B2Lower Level RequirementsEffectively canceling out the spectral response of the light source and the imagerRadiation pyrometrySpectrum investigationSpectral responseReference image
A method of detecting oxygen and / or chemical content in a subject, comprising generating at least one spectral image of the subject; generating at least one spectral image of a reference object; comparing spectrum from the subject image to the reference image to thereby reveal the relative oxygen content of the subject. A system for determining the level of oxygenation of the blood of a subject body part comprising: a hyperspectral image generator for generating a plurality of spectral images; an image capture device for capturing the spectral images; a processor for generating hyperspectral image cubes such that the spectrum of the body part is extracted and normalized using the spectrum from the reference object to cancel out the spectral response of the light source and the imager; said processor comparing spectral from a subject image to reference images to thereby reveal the relative oxygen content of the subject.
Owner:ARMY US SEC THE THE
Hyperspectral-analysis-based copper quality detection method and system
InactiveCN102507462AGuaranteed detection accuracyGuarantee the timeliness of detectionColor/spectral properties measurementsHyperspectral image processingAdditive ingredient
The invention discloses a hyperspectral-analysis-based copper quality detection method, which comprises the following steps of: (1) constructing a characteristic image cube of a copper material to be detected; (2) extracting contents and spectral information of ingredients of the copper material to be detected from the characteristic image cube; and (3) evaluating the quality of the copper material to be detected. According to the method disclosed by the invention, the concept of the characteristic image cube is introduced based on the traditional hyperspectral image processing technology, meanwhile, the image characteristics and the spectral characteristics of the copper material to be detected are acquired, and the copper material is subjected to characteristic extraction and quality detection by using a fused PSO-nsNMF (Particle Swarm Optimization-based non-smooth Nonnegative Matrix Factorization) algorithm, therefore, the accuracy in the detection of copper quality is ensured. Theinvention further discloses a hyperspectral-analysis-based copper quality detection system which comprises a hyperspectral imaging unit and an image processing unit; the hyperspectral-analysis-based copper quality detection system disclosed by the invention is used for carrying out real-time online acquisition and data processing on an image of a copper sample by utilizing a computer and combining with a hyperspectral imaging instrument, therefore, the timeliness in the detection of copper quality is ensured.
Owner:ZHEJIANG UNIV
Hyperspectral image classification method of graph convolution network based on multi-graph structure
ActiveCN111160396AMake up for the limitationsIncrease the differenceClimate change adaptationCharacter and pattern recognitionHyperspectral image classificationData Matrix
The invention discloses a hyperspectral image classification method of a graph convolution network based on a multi-graph structure. The hyperspectral image classification method comprises the following steps: reading a hyperspectral image cube and a training set; rearranging the hyperspectral data to obtain a pixel data matrix; constructing a forced nearest neighbor connection matrix and a spatial nearest neighbor connection matrix according to the pixel data matrix; performing convolution on the forced nearest neighbor connection matrix, the spatial nearest neighbor weight matrix and the pixel data matrix through a graph convolution network, and obtaining a feature matrix; and splicing the feature matrixes, classifying the feature matrixes AF of the pixels by using a softmax classifier,and finally verifying a hyperspectral image classification result.
Owner:SOUTH CHINA UNIV OF TECH
LED-based low-cost active hyperspectral detection system
InactiveCN109238463ASimple internal structureEasy to controlRadiation pyrometrySpectrum investigationDictionary learningPower flow
The invention discloses an LED-based low-cost hyperspectral detection system, comprising: a light source module, a light splitting module, a sampling module and a data processing module. The light splitting module sorts each LED according to a peak wavelength, and sequentially turns on the LED lamp separately to complete a light splitting process of the hyperspectral detection system; the drivingcurrent of the LED is adjusted to change the spectral distribution and the peak wavelength of a light beam, and current modulation is applied to the LED light source, thereby improving the light splitting precision; the data processing module uniformly divides a hyperspectral image cube into sub-cubes, sequentially arranges an unfolded two-dimensional matrix of each sub-cube in a sub-cube group onthe direction of column, merges the two-dimensional matrices into a two-dimensional matrix, and achieves the low-rank constraint of the hyperspectral image cube on the spectrum and the space throughthe rank of the two-dimensional matrix for removing all kinds of different noise; and a spatial-spectral dictionary of sparse representation is learned by using a dictionary learning algorithm according to the above sub-cubes, and the dictionary is used for improving the spectral resolution of a hyperspectral data cube.
Owner:TIANJIN UNIV
Hyperspectral imaging system combining chromatic aberration blurred imaging and image reconstruction technologies
InactiveCN112465922AReduce lossesImprove detection abilityImage enhancementRadiation pyrometryLight energyImaging lens
Owner:ZHEJIANG UNIV +1
Space-time joint anomaly detection method based on hyperspectral image and electronic device
ActiveCN108765460ASolve the problem of weak and small moving target detectionSmall probability of detectionImage enhancementImage analysisAnomaly detectionFalse alarm
The present invention discloses a space-time joint anomaly detection method based on a hyperspectral image and an electronic device, the method comprising: acquiring the space anomaly map of each frame of image in a hyperspectral image sequence; acquiring the time anomaly map of each frame of image in the hyperspectral image sequence; acquiring a trajectory prediction map of the target detection of a current frame according to the joint anomaly map of a previous frame of image, wherein the previous frame is a frame adjacent to the current frame; according to the space anomaly map, the time anomaly map, and the trajectory prediction map of each frame, acquiring the joint anomaly map of a target in a hyperspectral image cube. The method has a low false alarm rate and a high detection probability in aerial aircraft target detection.
Owner:BEIHANG UNIV +1
Multi-image encryption method based on three-dimensional scrambling model and fractional Fourier transform
ActiveCN111263026AImprove securityProtection securitySecuring communication by chaotic signalsPictoral communicationFast Fourier transformMulti-image
The invention discloses a multi-image encryption method based on a three-dimensional scrambling model and fractional Fourier transform (FrFT), and belongs to the field of information encryption. At present, the data volume of network information interaction is increasingly increased, and image batch transmission and storage are often needed in practical application. In order to protect the contentof multiple images, multiple interactive images are constructed into an image cube, and the image cube is segmented into an image cube set. A three-dimensional scrambling model of an image is established by utilizing two-dimensional Zigzag transformation and a chaotic system, and pixel scrambling operation is carried out on a cubic block set of the image. Then, FrFT (Fast Fourier Transform) is carried out on the scrambling result to generate k encrypted images. Experiments show that the method can protect the content of multiple interactive images at the same time, and is high in safety, goodin encryption effect and efficient.
Owner:CHINA UNIV OF MINING & TECH
Systems, methods and apparatus for compressing video content
Apparatus and methods for characterizing panoramic content, such as by a wide field of view and large image size. In one implementation, a panoramic image may be mapped to a cube or any other projection e.g icosahedron or octahedron. The disclosure exploits content continuity between facets, such as in the case of encoding / decoding cube-projected images. One facet may be encoded / decoded independently from other facets to obtain a seed facet. One or more transformed versions of the seed facet may be obtained; e.g., one corresponding to a 90° counterclockwise rotation, another to a 90° clockwise rotation, and one to an 180° rotation. Transformed versions may be used to form an augmented image. The remaining facets of the cube may be encoded using transformed versions within the augmented image. Continuity between transformed facets in the top row of the augmented image and facets in the middle row of the augmented image may be utilized for motion or intra prediction, and to obtain greater encoding performance compared to encoding facets independently.
Owner:GOPRO
Multi-channel-based wordart generation method and system
ActiveCN108510569AEffectively describe the spatial distributionKeep a partial lookTexturing/coloringNatural language data processingComputer graphics (images)Source image
The invention provides a multi-channel-based wordart generation method and system. The method includes the following steps that: the offset images of a source word image and a target word image are extracted; the source word image, the offset image of the source word image and a source wordart image are combined into a multi-channel source image cube according to channels; a target wordart image is initialized, and the initialized target wordart image, the target word image, and the offset image of the target word image are combined into a multi-channel target image cube according to channels;similar image blocks of each image block in the target image cube are iteratively searched in the source image cube, and the wordart image channels of the similar image blocks are adopted to update the corresponding channels of the target image cube until convergence occurs or the update degree of the target image cube is smaller than a set threshold; and the wordart image channels of the targetimage cube are extracted, and the target wordart image can be generated.
Owner:PEKING UNIV
Pure spectrum extraction from biological samples
The disclosure features methods that include obtaining multispectral image information for a sample that includes a fluorescent dye, calculating from an image cube of the information a first spectrum and a second spectrum, and calculating a pure spectrum of the fluorescent dye in the sample based on the first and second spectra, where a relative contribution of light emission from the fluorescent dye to the second spectrum is larger than a relative contribution of light emission from the fluorescent dye to the first spectrum, where calculating the first and second spectra includes identifying corresponding first and second sets of pixel intensity values in the image cube, and where identifying the first set of pixel intensity values includes designating one or more layers of the image cube as a first layer set.
Owner:AKOYA BIOSCI INC
Hyperspectral-analysis-based copper quality detection method and system
InactiveCN102507462BGuaranteed detection accuracyGuarantee the timeliness of detectionColor/spectral properties measurementsAdditive ingredientHyperspectral image processing
The invention discloses a hyperspectral-analysis-based copper quality detection method, which comprises the following steps of: (1) constructing a characteristic image cube of a copper material to be detected; (2) extracting contents and spectral information of ingredients of the copper material to be detected from the characteristic image cube; and (3) evaluating the quality of the copper material to be detected. According to the method disclosed by the invention, the concept of the characteristic image cube is introduced based on the traditional hyperspectral image processing technology, meanwhile, the image characteristics and the spectral characteristics of the copper material to be detected are acquired, and the copper material is subjected to characteristic extraction and quality detection by using a fused PSO-nsNMF (Particle Swarm Optimization-based non-smooth Nonnegative Matrix Factorization) algorithm, therefore, the accuracy in the detection of copper quality is ensured. The invention further discloses a hyperspectral-analysis-based copper quality detection system which comprises a hyperspectral imaging unit and an image processing unit; the hyperspectral-analysis-based copper quality detection system disclosed by the invention is used for carrying out real-time online acquisition and data processing on an image of a copper sample by utilizing a computer and combining with a hyperspectral imaging instrument, therefore, the timeliness in the detection of copper quality is ensured.
Owner:ZHEJIANG UNIV
System for rebuilding spectrum of high spectrum intervention data and method thereof
The invention relates to a system for rebuilding spectrum of high spectrum intervention data and a method thereof. Based on the interference imaging mechanism of an HJ-1A high spectrum camera, the system adopts a particular data processing method to rebuild intervention data into spectrum data, which solves the practical engineering problems in processing ground system building data. The system comprises a relative radiation correction unit, an interference data de-noising unit, an apodization processing unit, a spectrum recovering unit and a spectrum checking unit; wherein, the spectrum recovering unit converts an interference data cube into a spectrum image data cube by the symmetrization processing of interference data; the spectrum checking unit carries out wavelength positioning to areal object spectrum image cube by checking the position of the characteristic spectral line of an imaging spectrometer. The technical scheme of the invention fills the blank of data processing of satellite-bone interference imaging spectrometers in China, and satisfies user demand for the data of satellite-bone interference imaging spectrometers.
Owner:CHINA CENT FOR RESOURCES SATELLITE DATA & APPL
Hyperspectral image band selection method and system based on neighbor subspace division
ActiveCN113075129AClimate change adaptationMaterial analysis by optical meansPattern recognitionCorrelation coefficient
The invention discloses a hyperspectral image wave band selection method and system based on neighbor subspace division, and the method comprises the steps: S11, inputting a hyperspectral image cube, calculating a correlation coefficient between any two adjacent wave bands included in the input hyperspectral image cube to obtain a vector of the correlation coefficient; S12, searching for all correlation coefficient extreme points according to the obtained vectors of the correlation coefficients, screening out correlation coefficient minimum points from all the searched correlation coefficient extreme points, and determining an optimally divided hyperspectral band subspace through the screened correlation coefficient minimum points; and S13, sorting the subspaces according to the number of the wavebands in the subspaces, calculating the information entropy of the wavebands in each subspace, and selecting a required number of characteristic wavebands from the subspaces according to the calculated information entropy. According to the invention, it can be ensured that the finally selected wave band contains relatively complete information.
Owner:ZHEJIANG NORMAL UNIVERSITY
Hyperspectral image band selection method and system and electronic equipment
ActiveCN114743009AClimate change adaptationCharacter and pattern recognitionPattern recognitionComputer vision
The invention provides a hyperspectral image waveband selection method and system and electronic equipment, and the method comprises the steps: S100, obtaining a hyperspectral image cube, and segmenting the hyperspectral image cube into a plurality of regions through PCA and a superpixel segmentation algorithm; s200, learning low-dimensional potential features corresponding to the regions by adopting a layering strategy, obtaining potential feature matrixes of the regions, extracting average potential features of the hyperspectral image cube, and constructing an average potential feature matrix; s300, fusing the potential feature matrix of each region with the average potential feature matrix to obtain a low-dimensional self-characterization matrix of the hyperspectral image cube; and S400, carrying out clustering on the low-dimensional self-characterization matrix to obtain an optimal wave band combination. The method has the beneficial effect that the accuracy of hyperspectral image waveband selection is effectively improved.
Owner:CHINA UNIV OF GEOSCIENCES (WUHAN)
Apparatus and methods for video compression
Owner:GOPRO
Method for analysis and interpretation of flow cytometry data
Disclosed are various embodiments for interpretation of flow cytometry data. Flow cytometry data sets are combined to form a multidimensional image cube. The machine learning functions and genetic algorithm interpret the multidimensional image cube to produce a confidence value that is assigned to a function for the targeted condition. The confidence value determines the relative degree to which a targeted condition is present or absent in a flow cytometry data set. Such confidence value can be used to diagnose and interpret results from flow cytometry data.
Owner:ANGELETTI CESAR
General acquisition method for weak-contrast collimation image target center of comprehensive diagnosis system
PendingCN111860616ASimple methodImprove signal-to-noise ratioCharacter and pattern recognitionRadiologyImage pair
The invention discloses a general acquisition method for a weak contrast collimation image target center of a comprehensive diagnosis system, which adopts a unified method to acquire optical target centers of different types of images, and is simpler and more practical compared with the existing method. The method mainly comprises the following steps: 1, constructing an original image into a multi-dimensional image cube; 2, performing dimension reduction processing on the multi-dimensional image cube to obtain a first-dimensional image after dimension reduction; 3, performing K-means classification on the first-dimensional image after dimension reduction to obtain a binary image; 4, judging whether the binarized image is a schlieren small ball image or not, and if so, obtaining a schlierensmall ball target separation image; if the image is a pinhole image, feature points on the circular contour of the pinhole image needing to be obtained; if the image is another image, directly acquiring a target center of the image by using a gravity center method; and 5, carrying out circle fitting on the pinhole image and the schlieren small ball image by using a least square method to calculate the circle center of the images so as to obtain the center of the optical target.
Owner:XI'AN INST OF OPTICS & FINE MECHANICS - CHINESE ACAD OF SCI
Image semi-supervised classification method and device and computer readable storage medium
ActiveCN110689064AThe strength of the connection is accurately graspedStrong data clustering abilityCharacter and pattern recognitionClimate change adaptationImaging processingClassification methods
The invention relates to the technical field of high-dimensional image processing, in particular to an image semi-supervised classification method and device and a computer readable storage medium. The invention provides an image semi-supervised classification method. The method comprises the following steps: reading hyperspectral image cube data and a training set; rearranging the hyperspectral image cube data into a data matrix; calculating a full connection weight matrix; calculating k neighbors; forcing a sparse connection matrix of the nearest neighbor attribute; constructing a sparse connection matrix of mutual k neighbor attributes; obtaining a sparse connection matrix with complementary neighbor attributes; sparsifying the weight matrix by using a sparse connection matrix with complementary neighbor attributes to obtain a complementary neighbor sparse weight matrix; constructing an initial label matrix; and implementing semi-supervised image classification to obtain a classification result of all pixels of the hyperspectral image cube data.
Owner:YUNNAN POWER GRID CO LTD ELECTRIC POWER RES INST
Multi-image encryption method based on three-dimensional scrambling model and fractional Fourier transform
PendingCN111127292AImprove securityProtection securityDigital data protectionImage data processing detailsMulti-imageAlgorithm
The invention discloses a multi-image encryption method based on a three-dimensional scrambling model and fractional Fourier transform (FrFT), and belongs to the field of information encryption. At present, the data volume of network information interaction is increasingly increased, and the image batch transmission and storage requirements are increased. The invention provides the multi-image encryption method based on the three-dimensional scrambling model and FrFT in order to protect the security of network transmission of content of multiple images. Under the inspiration of scrambling andrestoring of a three-dimensional magic cube, a plurality of images form an image cube structure, a three-dimensional row, column and layer scrambling mode is designed, and a three-dimensional scrambling model is established. The k original images are scrambled by using the scrambling model, and FrFT is performed on a scrambled image set to generate k encrypted images. Experiments show that the method can encrypt a plurality of interactive images at the same time, and is good in encryption effect, high in safety and efficient.
Owner:CHINA UNIV OF MINING & TECH
Multi-image scrambling method based on chaos and block rotation
ActiveCN112968762AGood encryptionProtection securityGeometric image transformationSecuring communication by chaotic signalsMulti-imageStorage security
The invention discloses a multi-image scrambling method based on chaos and block rotation, and belongs to the field of information encryption. At present, network transmission and storage of batch images become increasingly frequent. In order to protect network transmission and storage security of multi-image content, the invention defines concepts of cube rotation and cube revolution, and designs a multi-image scrambling method based on chaos and block rotation. The method comprises the following steps: firstly, combining k original images into an image cube, and carrying out blocking operation to form a cube set; secondly, performing cube rotation and cube revolution on the cubes with the concentrated vertical cubes; thirdly, scrambling the vertical block set by using chaos; and finally, combining the scrambled cubic block sets to generate k scrambled images. Experimental results show that the method can encrypt a plurality of interactive images at the same time, and is good in encryption effect, high in security and efficient.
Owner:CHINA UNIV OF MINING & TECH
Light source determination method and device, electronic equipment and storage medium
PendingCN114719966AImprove selection efficiencyQuick fixImage enhancementImage analysisImaging processingImaging analysis
The invention relates to an image processing technology, and provides a light source determination method and device, electronic equipment and a storage medium. The method comprises the steps that a plurality of gray level images of an object carrying a target defect are obtained, and different gray level images correspond to different light sources; generating a pseudo hyperspectral image cube according to the plurality of grayscale images; determining defect information and spectral wavelength corresponding to the target defect from the pseudo hyperspectral image cube; generating a spectral characteristic curve according to the defect information and the spectral wavelength; and determining a target light source from the spectral characteristic curve according to a hyperspectral image analysis algorithm. The light source selection efficiency can be improved.
Owner:FU TAI HUA IND SHENZHEN +1
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