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35results about How to "Good edge retention" patented technology
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Infrared weak and small target detection method based on time-space domain background suppression
ActiveCN104299229AReal-time detectionReduce false alarm rateImage enhancementImage analysisTime domainSpace time domain
The invention belongs to the field of infrared image processing, and mainly relates to an infrared weak and small target detection method based on time-space domain background suppression. The infrared weak and small target detection method is used for achieving the aim of infrared movement weak and small target detection in a complicated background and includes the steps that firstly, stable background noise waves in a space domain are suppressed through guiding filtering; secondly, slowly-changed backgrounds in a time domain are suppressed with a gradient weight filtering method on the time domain through target movement information in an infrared image sequence; thirdly, the time domain background suppression result and the space domain background suppression result are fused to obtain a background-suppressed weak and small target image; finally, the image is split through a self-adaptation threshold value, and a weak and small target is detected. By means of the infrared weak and small target detection method, during target detection, space grey information of the infrared weak and small target is used, time domain movement information of the target is further sufficiently used, the background noise waves are suppressed in the time domain and the space domain, and therefore the movement weak and small target detection performance in the complex background is greatly improved.
Owner:SHANGHAI RONGJUN TECH
SAR (Synthetic Aperture Radar) image change detection method based on neighborhood logarithm specific value and anisotropic diffusion
InactiveCN102096921AGood removal effectReduce the impact of noiseImage analysisRadio wave reradiation/reflectionTerrainSynthetic aperture radar
The invention discloses an SAR (Synthetic Aperture Radar) image change detection method based on a neighborhood logarithm specific value and anisotropic diffusion, relating to the field of remote sensing image processing and mainly solving the problem that a difference graph structure of SAR image change detection is seriously influenced by SAR image spot noises. The SAR image change detection method comprises the following steps: (1) structuring a difference striograph IL of two images I1 and I2 of different times and same terrain according to a neighborhood logarithm specific value method; (2) carrying out self-adaptation window anisotropic diffusion filtering processing on the difference striograph IL to obtain a final filtering result graph NI<t>[L] of the difference striograph; and (3) carrying out threshold segmentation on the final filtering result graph NI<t>[L] of the difference striograph by using an OSTU (Maximum Between-Class Variance) threshold algorithm to obtain a change detection result graph CNI<t>[L] for structuring the difference striograph by using the neighborhood logarithm specific value method. The histogram of the difference striograph can be compressed so as to effectively eliminate miscellaneous points in the change detection result graph; and the self-adaptation window anisotropic diffusion filtering has favorable edge retentiveness and cannot blurs the edges of the image, thus, an obtained change detection result graph is finer.
Owner:XIDIAN UNIV
Multi-target remote sensing image segmentation method based on decomposition
ActiveCN102800093AReduce computational complexityHigh precisionImage analysisBiological modelsDecompositionPopulation
The invention discloses a multi-target remote sensing image segmentation method based on decomposition, which mainly solves the problems of the existing image segmentation technology, such as single evaluation index, high computing complexity and bad segmentation effect. The method mainly comprises the following steps of: inputting a remote sensing image to be segmented; extracting the characteristics of the image to be segmented; generating clustered data; initializing the initial population; calculating the fitness value of individual; initializing the sub-problems; evolving the individuals in each sub-problem; judging whether the termination condition is met to allocate a category label; generating the optimal individual; and outputting the segmented image. The method disclosed by the invention extracts the fusion characteristics of each pixel of the image and generates super-pixel characteristics in combination with watershed coarse division; and decomposing multiple target problems into a series of sub-problems through a decomposition multi-target method to realize the segmentation of a remote sensing image. The method disclosed by the invention has the advantages of diverse evaluation indexes, low computing complexity, good detail maintenance and the like, realizes high image segmentation precision and accurate edge positioning, and can be applied to the segmentation of a complicated image.
Owner:XIDIAN UNIV
Video image sea fog removal and clearing method
InactiveCN103903230AImprove performanceFast operationImage enhancementTelevision system detailsFrame differenceImage restoration
The invention belongs to the field of video image enhancement, and particularly relates to a video image sea fog removal and clearing method which integrates frame difference method background estimation with the rapid single-frame sea fog removal algorithm based on edge detection and is used for an offshore aircraft rapid video image sea fog removal and clearing system. The video image sea fog removal and clearing method includes the steps of obtaining a sea fog video image, conducting sea fog removal and clearing on a single-frame sea fog image, and conducting sea fog removal and clearing on the video image. The video image sea fog removal and clearing method is suitable for all offshore aircrafts, and performance of visual systems of the offshore aircrafts in sea fog can be greatly improved. The operating speed is high, and sea fog removal and clearing can be conducted on the video image in real time in the sea surface scene. Compared with other algorithms, the rapid single-frame sea fog removal algorithm has a good edge keeping effect. The method has the advantages of being remarkable in fog removal effect and good in image restoration effect. The detecting performance, the tracking performance and the recognizing performance of targets in the later period can be effectively improved with sea fog removal and clearing as earlier stage processing on the visual systems.
Owner:HARBIN ENG UNIV
Ceiling-based indoor moving robot vision positioning method
InactiveCN106338287ANot easy to coverSimple calculationImage analysisNavigational calculation instrumentsImaging processingOptical axis
The present invention discloses a ceiling-based indoor moving robot vision positioning method, wherein ceiling photographs are captured from the front surface at a set frequency, the characteristic lines and the characteristic points in the two ceiling photographs are continuously compared, and the compared results are converted into the movement rotation angle and the movement displacement increment of a moving robot in a world coordinate system so as to achieve the self-positioning of the moving robot. According to the present invention, the ceiling is adopted as the reference target, and compared with other objects, the ceiling is not easily blocked and the elements in the photograph are monotonous, such that the image processing unit conveniently extracts the outline and analyzes the photograph; and the photographs are captured by making the optical axis of the camera be perpendicular to the ceiling, such that the translation and rotation change between the previous frame image and the next frame image is directly reflected in the two-dimensional photograph so as to simplify the calculation on the image analysis.
Owner:杭州国辰牵星科技有限公司
Multi-focusing-image fusion method based on bilateral filter
ActiveCN105913408ASimple and quick split intoImprove Spatial ConsistencyImage enhancementSource imageComputer vision
The invention provides a multi-focusing-image fusion method based on a bilateral filter. The method comprises the steps of firstly, decomposing a source image for obtaining a basic layer and an edge layer; then, introducing a bilateral filtering algorithm at a fusion strategy aspect for respectively determining fusion weights of the basic layer and the edge layer, thereby sufficiently utilizing spatial continuity between the basic layer and the edge layer; and finally adding the fused basic layer and the edge layer for obtaining a final fused image. The multi-focusing-image fusion method provided by the invention has advantages of reserving image information, realizing relatively high edge keeping effect, and obtaining a good subjective effect and a relatively good objective index.
Owner:XIANGTAN UNIV
Adaptive defogging enhancement method for image with color constancy
ActiveCN108416745ARestore true colorConstant colorImage enhancementImage analysisColor saturationImage contrast
The invention provides an adaptive defogging enhancement method for an image with color constancy. On the premise of nearly not reducing an image resolution, the multispectral image with relatively low contrast, color saturation and brightness due to environmental factors such as sand dust, low illuminance, cloud fog and the like can be subjected to adaptive defogging enhancement processing, thereby achieving an image defogging effect. According to the adaptive defogging enhancement method for the image with the color constancy, a comprehensive effect of color naturalness, color richness, image contrast and brightness of the image is assessed by adopting an image fitness estimation link; adaptive solving of an image local region illuminance estimation convolution function template is realized in combination with the image fitness estimation link based on a bilateral filtering parameter set adaptive solving link of a genetic algorithm; and based on a defogging enhancement link of the image with the color constancy, a bilateral filtering convolution kernel is adopted as an image brightness channel local region illuminance estimation template, and an image brightness channel mean value is adopted as an image overall illuminance estimation value.
Owner:XI'AN INST OF OPTICS & FINE MECHANICS - CHINESE ACAD OF SCI
Restraint method for SAR image spot noise combining visual light image information
InactiveCN101123683AAccurate classificationGood spot reduction effectTelevision system detailsColor television detailsPattern recognitionNoise suppression
The present invention relates to a speckle noise reduction method in SAR image combining with visual image information, which includes the following steps: (1) image area attribute of the pixel points is classified; by using the optical image information, the pixel points are divided into three types: a homogeneous area, a low frequency area and an edge detail area; (2) according to the type of the pixel point, the speckle noise of SAR image classification is inhibited. Using the visual image, the present invention classifies the SAR image into three types of image area, the homogeneous area, the low frequency area and the edge detail area, and adopts different noise suppression algorithm in different image area, which has advantages that (1) the areas can be accurately classified by using the visual image information without speckle noise ; (2) the homogeneous area and the low frequency area adopt the most adaptive de-speckle algorithm, which can obtain the best de-speckle effect;(3)the edge detail area adopts preserved edge treatment, therefore which can obtain the best edge preserving performance.
Owner:BEIHANG UNIV
Remote sensing image partition method based on automatic difference clustering algorithm
ActiveCN102945553AImprove Segmentation AccuracyOvercome the disadvantage of large amount of clustering calculationImage analysisClustered dataCluster algorithm
The invention discloses a remote sensing image partition method based on an automatic difference clustering algorithm. The method mainly solves the problems in the existing image partition technology of being high in calculating complexity and poor in partition effect. The remote sensing image partition method includes the steps: (1) inputting an image to be partitioned and extracting features of the image to be partitioned; (2) generating clustering data; (3) drawing clustering data initial population randomly; (4) activating a clustering center according to individual labels; (5) calculating an individual fitness value according to the activated clustering center; (6) evolving the population through an improved difference evolving method; (7) conducting oscillation operation of the number of categories on the evolved population; (8) updating a center of mass by using a fuzzy C means (FCM); (9) judging end conditions by using the updated center of mass and recording the optimal individuals; and (10) decoding the optimal individuals, distributing category labels and outputting partitioned images. The method has the advantages of being high in partition precision and accurate in border locating and can be used for target identification.
Owner:XIDIAN UNIV
A river course three-dimensional modeling method based on multi-attribute supervoxel and graph cutting
InactiveCN109242968AHelp complement each otherFully portrayedImage analysisCharacter and pattern recognitionAlgorithmLinear relationship
The invention provides a river course three-dimensional modeling method based on multi-attribute supervoxel and graph cutting, belonging to the field of geological body three-dimensional model construction. Aiming at the shortcomings of single seismic attribute describing river course, the invention provides a multi-attribute fusion method based on improved local linear embedding, the preferred attributes are fused into new attributes by ISOLLE algorithm, Considering the non-linear relationship between seismic attribute data, a non-linear fusion method is adopted, the fusion attribute is better than the previous attribute, and the accuracy of river edge and region description is improved, which lays a good foundation for the next segmentation and reconstruction. The invention is based on the river course segmentation method of supervoxel and graph cutting, and generates three-dimensional supervoxel through simple linear iterative algorithm, and the generated supervoxel is well close tothe edge of the river course, and has good homogeneity, and then obtains the final segmentation result by combining the graph cutting frame, and obtains the three-dimensional model of the river course surface in the way of extracting the isosurface.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA
Binocular vision naked eye 3D image generation method
ActiveCN111047709AImprove stabilityImprove matching accuracyImage enhancementDetails involving processing stepsOphthalmology3d image
The invention discloses a binocular vision naked-eye 3D image generation method, and the method comprises the following steps: carrying out the image collection through a collection device, and obtaining a color + gray original binocular image pair; completing calibration of the acquisition devices for the acquired original binocular image pairs, and acquiring relative positions between the acquisition devices; performing binocular correction on the original binocular image through the relative position between the acquisition devices to obtain corrected binocular images including a black andwhite right-eye image and a color left-eye image; performing binocular matching on the corrected binocular image by using a binocular matching algorithm to generate a parallax image; drawing the blackand white right-eye image by using the parallax image to generate a color right-eye image, synthesizing the color left-eye image and the color right-eye image into one image, and performing pixel interleaving to generate a final binocular image; according to the invention, a binocular matching method with high matching precision is adopted, the hardware cost is reduced, and the method can be applied to a real-time scene with higher precision and comfort.
Owner:JINAN UNIVERSITY
Bilateral total variation image super-resolution reconstruction method based on neighborhood similarity
ActiveCN108460723ARich in detailsGood edge retentionGeometric image transformationDistance matrixImage resolution
The invention discloses a bilateral total variation image super-resolution reconstruction method based on neighborhood similarity, and mainly solves a problem of detail loss in a super-resolution reconstruction process of an image in the prior art. The implementation scheme of the invention is that the method comprises the steps: 1, obtaining a low-resolution image sequence, carrying out the interpolation of a first image frame of Y, taking the first image frame as a super-resolution reconstructed image (shown in the description) for the first iteration; 2, calculating a neighborhood structuresimilarity distance matrix Wt of a reconstructed image (shown in the description) of the t-th iteration; 3, constructing a target function according to Wt, solving a minimization problem of a targetfunction, obtaining a reconstructed image (shown in the description) of the (t+1)-th iteration; 4, calculating the Euclidean distance of super-resolution reconstructed images generated by two adjacentiteration operations; 5, repeatedly carrying out the steps 2-4 till the Euclidean distance of super-resolution reconstructed images generated by two adjacent iteration operations is less than a threshold value, and outputting a super-resolution reconstruction result. The method can achieve the effective reconstruction of the detail information in an image, achieves the better maintaining of the structural features, and can be used for the processing of a remote sensing image and a medical image.
Owner:XIDIAN UNIV
SAR Image Segmentation Method Based on Decomposition Evolutionary Multi-objective Optimization and FCM
ActiveCN103839261BEasy maintenancePreserve image detailImage analysisCharacter and pattern recognitionQR decompositionLocal optimum
The invention discloses an SAR image segmentation method based on decomposition evolution multi-objective optimization and FCM. The method mainly solves the problem that in the prior art of image segmentation, image segmentation precision is not high, the evaluation index is single, and the segmentation effect is not ideal. The method comprises the steps that the Gabor feature and gray level symbiotic feature of each pixel of an image are extracted, and a superpixel is obtained through rough segmentation of a watershed, superpixel features are used as data to be clustered, a clustering center is used as individual species, the species are optimized through the decomposition evolution multi-objective method, the species obtained after evolution are used as the clustering center to initialize the FCM algorithm, a new clustering center is obtained and used as new species for participating in the next evolution of the decomposition evolution multi-objective algorithm. According to the SAR image segmentation method, the better clustering center is obtained through cross adoption of the decomposition evolution multi-objective algorithm and the FCM algorithm, the defect that the FCM initial value is sensitive and falls into a local optimal solution easily is overcome, and the better image segmentation result can be obtained.
Owner:XIDIAN UNIV
SAR (Synthetic Aperture Radar) image change detection method based on neighborhood logarithm specific value and anisotropic diffusion
InactiveCN102096921BGood removal effectReduce the impact of noiseImage analysisRadio wave reradiation/reflectionTerrainSynthetic aperture radar
The invention discloses an SAR (Synthetic Aperture Radar) image change detection method based on a neighborhood logarithm specific value and anisotropic diffusion, relating to the field of remote sensing image processing and mainly solving the problem that a difference graph structure of SAR image change detection is seriously influenced by SAR image spot noises. The SAR image change detection method comprises the following steps: (1) structuring a difference striograph IL of two images I1 and I2 of different times and same terrain according to a neighborhood logarithm specific value method; (2) carrying out self-adaptation window anisotropic diffusion filtering processing on the difference striograph IL to obtain a final filtering result graph NI<t>[L] of the difference striograph; and (3) carrying out threshold segmentation on the final filtering result graph NI<t>[L] of the difference striograph by using an OSTU (Maximum Between-Class Variance) threshold algorithm to obtain a change detection result graph CNI<t>[L] for structuring the difference striograph by using the neighborhood logarithm specific value method. The histogram of the difference striograph can be compressed so as to effectively eliminate miscellaneous points in the change detection result graph; and the self-adaptation window anisotropic diffusion filtering has favorable edge retentiveness and cannot blurs the edges of the image, thus, an obtained change detection result graph is finer.
Owner:XIDIAN UNIV
Scale-sensitive edge-preserving image filtering method
ActiveCN107274363AAchieve decompositionGood edge retentionImage enhancementImage analysisComputer visionGlobal optimization
The invention provides a scale-sensitive edge-preserving image filtering method. The edge can be well preserved through global optimization, and good scale sensitivity can be achieved by introducing scale sensitivity measurement to an optimization equation. A filtering result image S of an input image I is calculated by means of iterative optimization. In each optimization process, a filtering image St obtained by current optimization is calculated by minimizing a current energy function. A filtering image obtained by last optimization is a final filtering result image S.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY
Underwater image processing system, method, apparatus and medium with edge retention
ActiveCN112102208AGenerate efficient and refinedGood edge retentionImage enhancementImage analysisEngineeringUnderwater image processing
The invention relates to an underwater image processing system and method with edge retention. The system comprises: a transmission map estimation module configured to perform a transmission map recovery operation on an acquired degraded underwater image to generate a transmission map estimation of the underwater image; an ambient light estimation module configured to perform an ambient light estimation operation on the underwater image to generate an ambient light estimation of the underwater image; a defogging processing module configured to perform defogging processing on the underwater image based on the transmission image estimation and the ambient light estimation to obtain a defogged underwater image; and a discriminator module configured to discriminate the transmission map estimation and the defogged underwater image from a transmission map true value and a defogged underwater image true value, and train and supervise the transmission map estimation and the ambient light estimation based on a discrimination result.
Owner:彩虹鱼技术(青岛)有限公司
Variable coefficient and local entropy combined driving radar image non-local mean value method
PendingCN110852975AGood smoothing performanceGood edge retentionImage enhancementImage analysisEdge regionVisualization
The invention provides a variable coefficient and local entropy combined driving radar image non-local mean value method, the pixel value of a current pixel point is solved according to the current pixel weight value and the value of each pixel in a search window, and the current pixel weight value is determined according to the ratio distance and the attenuation coefficient corresponding to eachpixel point. Compared with an existing speckle suppression method, the method has better smoothness in a uniform region, can also have good edge retention characteristics in an edge region, and also has a better effect in the aspect of image visualization.
Owner:DALIAN MARITIME UNIVERSITY
Image filtering method and device, terminal and computer readable storage medium
PendingCN113298761AAvoid the problem of flying spotsGood edge retentionImage enhancementImage analysisComputer graphics (images)Pattern recognition
The invention belongs to the technical field of image processing, and mainly provides an image filtering method and device, a terminal and a computer readable storage medium. According to the invention, by introducing an error threshold value of each pixel in a to-be-filtered image is introduced and comparing the pixel difference corresponding to each pixel in the to-be-filtered image with the error threshold value of the corresponding pixel in the to-be-filtered image, corresponding pixel values from an initial filtering image and the to-be-filtered image are selected as corresponding target pixel values of the pixels in the to-be-filtered image in a target filtering image, therefore, the problem that flying spots appear in the target filtering image obtained after the to-be-filtered image is filtered is effectively avoided, the target filtering image with a good edge preserving effect and a good filtering effect can be obtained, and compared with a guiding filtering mode, the method has the advantages of being small in calculation amount, low in hardware requirement and capable of being conveniently achieved on various calculation platforms.
Owner:SHENZHEN ORBBEC CO LTD
Multi-frequency phase-sensitive demodulation method based on improved median filtering
InactiveCN109001539AEffectively remove the influence of multi-frequency phase-sensitive demodulationRemoving the effects of multi-frequency phase-sensitive demodulationDielectric property measurementsComputer modulePhase sensitive
The present invention relates to a multi-frequency phase-sensitive demodulation method based on improved median filtering. The method comprises the following steps of: obtaining a digital quantity ofdetected multi-frequency signals through A / D sampling, and performing temporary storage of the digital quantity of the detected multi-frequency signals in a cache module; according to the periodicityof the detected multi-frequency signals, converting the cached digital signals to an M*Nc signal matrix, wherein M is the quantity of the signal sampling periods, and Nc is the quantity of the sampling points in one sampling period; taking each row of elements of the signal matrix, wherein each row of elements forms one M*1 vector to construct Nc rows of vectors; performing median filtering of each row of vectors to obtain the signal vectors after filtering; and performing digital phase-sensitive demodulation according to the signal vectors after filtering to obtain the amplitude and phase information of each frequency component signal.
Owner:TIANJIN UNIV
An image resampling method and system
Owner:FOUNDER INTERNATIONAL CO LTD +1
An Improved Non-local Mean Filtering Method for Polsar Images
ActiveCN109285127BGood edge retentionImprove accuracyImage enhancementImage analysisAlgorithmFilter methods
An improved non-local mean filtering method for PolSAR images. This method combines the statistical characteristics of the image sub-block and the polarization scattering characteristics of the target point to screen the homogeneous pixels, introduces the coefficient of variation to adaptively select the smoothing coefficient to calculate the weight required for filtering, and performs non-local mean filtering on the homogeneous pixels, and finally Output the filtered PolSAR image. The inventive method has the following advantages: 1) it can effectively filter out coherent speckle noise; 2) it has a strong degree of self-adaptation; the inventive method can adaptively select the smoothing coefficient according to the heterogeneity of the image block; , the edge features of the image are better preserved. 3) The polarization scattering features of the filtered image point target are better preserved by using polarization screening.
Owner:CIVIL AVIATION UNIV OF CHINA
Welded blade of rotary shaver
PendingCN113427523AGood edge retentionStrong wear resistanceMetal working apparatusKnife bladesStructural engineering
The invention discloses a welded blade of a rotary shaver. The welded blade comprises a blade base and a cutter ring arranged on the blade base, wherein the cutter ring comprises a plurality of cutters which are rotationally distributed by taking a central shaft of the blade base as a central shaft, and the cutters are welded with the blade base. The problem that in the prior art, a high-hardness material cannot be used as a cutter material for shaving is solved, the manufactured cutters are good in cutting edge retentivity, high in abrasion resistance and long in service life, meanwhile, the cutters can be independently ground, the requirement for the performance of grinding equipment is low, and the requirement for operation of workers is low.
Owner:HAINING XINYI MACHINERY & ELECTRICAL
Method for carrying out change detection on remote sensing images based on treelet fusion and level set segmentation
InactiveCN102254323BHigh precisionReduce spurious change informationImage enhancementImage analysisLand resourcesDecomposition
The invention discloses a method for carrying out change detection on remote sensing images based on treelet fusion and level set segmentation, and mainly solves the problem that much pseudo-change information exists in the existing change detection methods. The method is implemented through the following steps: inputting two time-phase remote sensing images, then respectively carrying out mean shift filtering on each image so as to obtain two time-phase filtered images; respectively carrying out two-dimensional stationary wavelet decomposition on the two time-phase filtered images three times under different level numbers; carrying out subtraction on wavelet coefficient matrixes of corresponding directional son-bands of the filtered images with the same decomposition level number; carrying out enhancement and two-dimensional wavelet inverse transformation reconstruction on wavelet coefficient difference matrixes in horizontal and vertical directions by using a sobel operator; and fusing the reconstruction images with different decomposition level numbers so as to obtain a final difference map by using a treelet algorithm, then carrying out level set segmentation on the differencemap so as to obtain a change detection result. By using the method disclosed by the invention, the accuracy of the change detection result can be improved effectively, and the edge feature of a change area can be maintained better, therefore, the method can be applied to the fields of natural disaster analysis, land resource monitoring, and the like.
Owner:XIDIAN UNIV
Infrared image dynamic compression and detail enhancement method, storage medium and device
PendingCN114494042AReduce computational complexityGood edge retentionImage enhancementImage analysisGain coefficientHistogram
The invention discloses an infrared image dynamic compression and detail enhancement method, a storage medium and an infrared image dynamic compression and detail enhancement device. The method comprises the following steps: dividing an original image into a base layer and a detail layer by using a parameter-adaptive guide filter; the adaptive parameter of the guide filter is calculated according to a local variance histogram of the to-be-processed original image, and the local variance histogram of the original image is obtained by counting the local variance of the to-be-processed original image; performing dynamic range compression on the base layer; performing image enhancement on the detail layer according to a gain coefficient representing the overall definition of the image; the gain coefficient is obtained according to the adaptive parameter; and combining the base layer image after dynamic range compression with the detail enhanced image to obtain a final dynamic range compression image. According to the invention, adaptive parameters are introduced, so that the filter is suitable for different infrared images. In the enhancement of the detail layer, a gain coefficient representing the overall definition of the image is calculated according to the adaptive parameters so as to improve the detail performance in the image.
Owner:YUNNAN NORTH OPTICAL & ELECTRON INSTR
Restraint method for SAR image spot noise combining visual light image information
InactiveCN100544400CAccurate classificationGood spot reduction effectTelevision system detailsColor television detailsPattern recognitionNoise suppression
A method for suppressing speckle noise in a SAR image combined with visible light image information, the steps of which are: (1) classify pixel point area attributes, and use optical image information to divide pixel points into three types: uniform area, slowly changing area and edge detail area; (2) According to the category of the pixels, the speckle noise of the SAR image classification is suppressed respectively. The present invention uses visible light images to divide SAR images into three types of image areas: uniform area, slowly changing area and edge detail area, and then uses different noise suppression operations in different image areas; Visible light image information can accurately classify the region; (2) the most suitable speckle reduction operation is used in the uniform area and the slowly changing area, which can obtain the best speckle reduction effect; (3) the edge detail area adopts edge-keeping processing, so The best edge-preserving performance can be obtained.
Owner:BEIHANG UNIV
Computer device for removing multiplicative noise of color image and equipment
InactiveCN110443767AGood edgeIncrease contrastImage enhancementImage analysisColor imageNoise removal
The embodiment of the invention discloses a computer device for removing multiplicative noise of a color image and equipment. The computer device comprises a noise removal assembly used for carrying out multiplicative noise removal on an input color image to be processed, and the noise removal assembly comprises an image collector used for obtaining the color image to be processed and a model construction module used for constructing a denoising model in advance and determining various parameters of the denoising model. The model construction module comprises a similarity processing sub-moduleused for determining the similarity between the to-be-processed color image and the denoised color image based on data items of a universal multiplicative noise model, and a smoothing processing sub-module used for determining the smoothness of the denoised color image based on rule items of a coupling MTV model and a high-order TC model; and the data processing sub-module is used for calculatingvarious parameters of the denoising model by utilizing an augmented Lagrange method and an alternate optimization multiplier method. The non-edge area of the denoised image is smooth and natural, thestep effect is eliminated, and the edge and corner points of the color image are well kept.
Owner:QINGDAO UNIV
A Multi-focus Image Fusion Method Based on Bilateral Filter
ActiveCN105913408BSimple and quick split intoImprove Spatial ConsistencyImage enhancementSubjective effectsComputer vision
The present invention proposes a multi-focus image fusion method based on bilateral filters. Steps of the present invention: first, decompose the source image to obtain the base layer and the edge layer. Then, in terms of fusion strategy, a bilateral filtering algorithm is introduced to determine the fusion weights of the base layer and the edge layer respectively to fully utilize the space of the base layer and the edge layer. Continuity. Finally, the fused base layer and edge layer are added to obtain the final fused image. The multi-focus image fusion method proposed by the present invention has a good edge preservation effect while retaining image information, and can achieve good subjective effects and high objective indicators.
Owner:XIANGTAN UNIV
Underwater image processing system, method, apparatus and medium with edge retention
ActiveCN112102208BGenerate efficient and refinedGood edge retentionImage enhancementImage analysisEngineeringComputer science
The present application relates to an underwater image processing system and method with edge preservation. The system includes: a transmission map estimation module configured to perform a transmission map recovery operation on the acquired degraded underwater image to generate a transmission map estimate of the underwater image; an ambient light estimation module configured to perform a transmission map estimate on the underwater image image performing an ambient light estimation operation to generate an ambient light estimate of the underwater image; a defogging processing module configured to perform defogging processing on the underwater image based on the transmission map estimate and the ambient light estimate to obtain a defogged underwater image; and a discriminator module configured to discriminate the transmission map estimate and the defogged underwater image compared to the true value of the transmission map and the true value of the defogged underwater image, and based on the discriminant result to train and supervise transmission map estimation and ambient light estimation.
Owner:彩虹鱼技术(青岛)有限公司
A Method of Infrared Dim Small Target Detection Based on Background Suppression in Spatio-temporal Domain
ActiveCN104299229BTake advantage ofFully integratedImage enhancementImage analysisPattern recognitionTime domain
Owner:SHANGHAI RONGJUN TECH
Multi-image encryption and decryption method and computer-readable storage medium
ActiveCN107318028BStationary complex-valued signalImplement multi-image encryptionImage codingDigital video signal modificationMulti-imageComputer science
The invention discloses a multi-image encryption method, a multi-image decryption method and a computer readable storage medium. The multi-image encryption method comprises the steps of placing multiple scrambled to-be-encrypted images on cross sections at different depths of a virtual three-dimensional object; carrying out Fresnel diffraction calculation on object light waves of each cross section to obtain Fresnel diffraction light waves of each cross section on a first observation plane; calculating to obtain object light waves of the first observation plane; carrying out Fresnel diffraction calculation on the object light waves of the first observation plane to obtain the object light waves of a second observation plane; and carrying out inverse Fourier transform on the object light waves of the second observation plane after the object light waves are subjected to conjugate symmetrical arrangement so as to obtain a real-value encrypted image. The decryption method comprises the decryption steps opposite to the encryption steps, and a decrypted image is reconstructed on a reconstruction image surface in non-interfering, non-interpolation and controllable manners. The multi-image encryption method can realize multi-image encryption and has relatively high safety and robustness; and the reconstructed image of the decrypted image is relatively high in quality, and has a good edge preserving characteristic.
Owner:FUJIAN NORMAL UNIV
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