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74results about How to "Preserve texture" patented technology
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Natural image denoising method based on dictionary learning and block matching
ActiveCN102184526AImprove denoising effectPreserve textureImage enhancementSingular value decompositionDictionary learning
The invention discloses a natural image denoising method based on dictionary learning and block matching, which mainly solves the problems that texture details are easily lost and homogenous areas are not smooth in the conventional natural image denoising. The method comprises the following steps of: (1) setting a denoising target function and inputting a noise-containing image z(x); (2) making an original image equal to the noise-containing image, namely y(x)=z(x), and making a dictionary D be a redundant discrete cosine transform (DCT) dictionary; (3) updating the atoms of the dictionary D and a corresponding coefficient matrix alphaij by using a kernel-singular value decomposition (KSVD) algorithm; (4) denoising the noise-containing image z(x) by using a block matching three-dimensional (BM3D) algorithm to acquire a primary denoising result; and (5) introducing the updated D and alphaij into the estimation formula of the original image to acquire the denoising result of the noise-containing image z(x). Compared with the conventional classic denoising method, the method achieves a better denoising effect and can be used for denoising a natural image; and the homogeneous area is smoothened, and the texture, the profile and the edge detail information of the image can be maintained at the same time.
Owner:XIDIAN UNIV
Enhancing the tonal and spatial characteristics of digital images using selective spatial filters
ActiveUS7116838B2Improve image luminance contrastMinimizes noise amplificationTelevision system detailsImage enhancementDigital imageTone scale
A method of enhancing the tonal and spatial characteristics of a digital image, includes receiving a source digital image including a plurality of pixels; producing a tone scale function that can be used to enhance the tonal characteristics of the source digital image; classifying the tone scale function into one of two or more categories, wherein the classification categories include expansive and compressive; and using the tone scale function, the source digital image, and a first spatial filter to produce an enhanced digital image when the tone scale function has been classified as compressive, and using the tone scale function, the source digital image, and a second spatial filter to produce an enhanced digital image when the tone scale function has been classified as expansive.
Owner:MONUMENT PEAK VENTURES LLC
Method for self-adaption amalgamation of multi-sensor image based on non-lower sampling profile wave
InactiveCN101303764AAvoid jitter distortionTake advantage ofImage enhancementDecompositionContourlet
The invention discloses a multi-sensor image adaptive fusion method based on non-lower sampling contourlet, which mainly aims at solving the problem that the existing image fusion method easily causes distortion in fused images. The fusion process comprises the steps that: the source images are respectively subject to a non-lower sampling contourlet decomposition to obtain low pass subbands and high-frequency directional subbands of the source images in various scales; the Fibonacci method is applied to the obtained low pass subband to find out the optimal low-frequency subband fusion weight; a fusion is adaptively carried out by utilizing the optimal low-frequency subband fusion weight to obtain the low pass subband of the fused image; a fusion is conducted by hiring the high-frequency fusion formula to fuse the high-frequency directional subbands of the source image in various scales so as to obtain the high-frequency directional subbands of the image in various scales; finally, an NSCT inverse transformation is applied to the low pass subbands and the high-frequency directional subbands of the image to be fused to obtain the fused image. The method has the advantages of smoothness, clarity and rich detailed information of the fused image, and thus can be applied to the pre-treatment of remote sensing images and aerial images.
Owner:探知图灵科技(西安)有限公司
Visible light and infrared image fusion algorithm based on NSCT domain bottom layer visual features
The invention provides a visible light and infrared image fusion algorithm based on non-subsample contourlet transform (NSCT) domain bottom layer visual features.Firstly, visible light and infrared images are subjected to NSCT, high and low frequency subband coefficients of the visible light and the infrared images are obtained, then phase equalization, neighborhood space frequency, neighborhood energy and other information are combined, the pixel active levels of the low frequency subband coefficients are comprehensively measured, fusion weights of the low frequency subband coefficients of the visible light and infrared images are obtained respectively, and therefore low frequency subband coefficients of fusion images are obtained; the pixel active levels of the high frequency subband coefficients are measured through the combination of phase equalization, definition, brightness and other information, fusion weights of the high frequency subband coefficients of the visible light and infrared images are obtained respectively, then high frequency subband coefficients of the fusion images are obtained, finally, NSCT reverse transformation is utilized, and final fusion images are obtained.Detail information of source images can be effectively reserved, and meanwhile useful information of the visible light images and the infrared images is synthesized.
Owner:云南联合视觉科技有限公司
Intermediate composite part for forming reinforcement prosthesis
The present invention relates to an intermediate composite part (1) designed for forming a composite reinforcement prosthesis and comprising: i) a porous textile support (2) which includes an arrangement of threads each composed of at least one filament of nonabsorbable polymer material, said textile support defining the free edge or edges (7) of the part, and ii) a hydrophilic absorbable material (3) covering said textile support, at least on one side of the latter, extending across the surface of what is called a protected zone (4) and creating, on each side of the latter, two unprotected zones (5, 6) of the textile support which are limited by said free edges and are devoid of any of said absorbable material. It also relates to a process for preparing such a part.
Owner:SOFRADIM PROD SAS
Characteristic reservation based three-dimensional model progressive transmission method
InactiveCN101119485AControl geometric errorGreat practicabilityPulse modulation television signal transmission3D modellingVisibilityViewpoints
The present invention relates to a three-dimensional model progression transmission method on basis of keeping character, the present invention holds the improvement for character keeping on the basis of the simplified arithmetic of the original three-dimensional model, and at the same time of simplifying the geometrical model, the present invention keeps the topological property and attribute character of the model, and gets the underlying net with smaller data amount, and on the basis of above, the processing coding is held distributed on basis of octree to construct the procession net document. When in transmission, the octree broadness prior coding underlying net is firstly used, and then adopting the procession net transmission method to transport a serial detail recovering information, and continuousely improving model presicion and recovering the original document, thereby solving the problem that: the responding time for the traditional transmission method is long. In adition, the viewpoint related transmission strategy facing the object is designed for the three-dimensional scene, increasing the actural drawing, and making the visibility judging of the object is carried out by putting on the clinet end, and reducing the loading of the server.
Owner:BEIHANG UNIV
Method for denoising space self-adaption threshold video based on Surfacelet transform domain
InactiveCN102158637AImprove efficiencyAccurate captureTelevision system detailsColor television detailsSelf adaptiveDecomposition
The invention discloses a method for denoising a space self-adaption threshold video based on a Surfacelet transform domain, and the method is mainly used for solving the phenomena of unsatisfactory video denoising effects, excessive denoising course complexity, artifact and pseudo Gibbs' effect in a solution course and the like. The method disclosed by the invention is implemented through the following courses: outputting a video to be denoised and carrying out Surfacelet transform; respectively evaluating the noise of factors in the direction subband of each Surfacelet decomposition; computing self-adaption thresholds by utilizing the space energy values of the factors; adjusting the thresholds by utilizing the adjacent domain information of the factors; denoising by utilizing a threshold function; and reconfiguring the denoised factors, thus obtaining the denoised video. Compared with the prior art, the method disclosed by the invention has the advantages of obviously reducing the computing complexity, enhancing the PSNR (Peak Signal to Noise Ratio) value of the denoised video and effectively maintaining the detail information of the video, and can be used for natural video denoising and three-dimensional image denoising.
Owner:XIDIAN UNIV
TV (total variation) image noise removal method based on noise priori constraint
ActiveCN106355561AImprove denoising performancePreserve textureImage enhancementMixed noiseNoise removal
The invention belongs to the technical field of digital image processing, provides a TV (total variation) image noise removal method based on noise priori constraint and can improve the noise detection accuracy and well protect image structural information. The technical scheme is that the TV image noise removal method based on the noise priori constraint comprises the following steps: step 1) inputting a noise-containing image I; step 2) enabling f to be an original sharp image; step 3) performing impulse noise influence on an image u in transmission and storage processes, and representing an image polluted by mixed noise with g; step 4) estimating noise positions with an ROAD (rank-ordered absolute difference) statistical method; step 5) constructing a TV-ROAD iteration noise removal model; step 6) solving an equation shown in the specification according to a noise removed image f obtained in the previous step to obtain a two-value matrix vector b. The method is mainly applied to digital image processing.
Owner:TIANJIN UNIV
Log dyeing method
InactiveCN1672886ARetain structurePreserve textureWood treatment detailsPressure impregnationRoom temperatureVolumetric Mass Density
The log dyeing method is one circular hot pressing dyeing and normal temperature and pressure dyeing method on log with water content not higher than 8 % and in proper length. The log dyeing process includes the following steps: compounding acid dye aqua; soaking at room temperature for 120-480 min; dyeing at 25-120 deg.c and 10-15 Mpa under stirring for 30-60 min; lowering to room temperature; dyeing at 25-120 deg.c and 10-15 Mpa under stirring for 30-60 min; and so on until reaching the total dyeing time of 600-900 min; washing with water; drying at 25-120 deg.c to water content not higher than 8 %; and discharging. The log dyeing maintains the natural grains of log, raises the density of timber, homogenizes the color of timber, and raises the value of timber.
Owner:高凯
Energy-saving and high-efficiency method for dying crude wood
InactiveCN102241039AAvoid the disadvantages of needing glueImprove use valueWood treatment detailsGranularityEnergy consumption
The invention discloses an energy-saving and high-efficiency method for dying crude wood, comprising the following steps of: (1) selecting crude wood; (2) preparing a dye solution for dying; (3) dyeing the crude wood; and (4) drying the dyed crude wood and preparing dyed wood. The invention has the advantages that: firstly, in the process, fresh crude wood is used in the dyeing process so as to avoid energy source consumption due to dried dyeing and secondary drying; secondly, the granularity and the polymerization degree of dye molecules subjected to ultrasonic treatment are greatly reduced so as to be conductive for the dye molecules to enter inside the wood for deeply dyeing; thirdly, the dyed crude wood can be sawn into boards in different thicknesses according to requirements; fourthly, the wood subjected to dyeing treatment by using the process is uniform in colors inside and outside and retains natural structures and grains of the crude wood; and fifthly, the dyeing process is simple and easy to operate.
Owner:BEIJING FORESTRY UNIVERSITY
Primordial bamboo plate making process
InactiveCN101088729AWide range of usesRetain structureFlat articlesDomestic articlesHardnessMaterials science
The primordial bamboo plate making process includes the following steps: cutting bamboo into bamboo tube, cutting into arced bamboo strip, cutting the inside of bamboo strip to form stress releasing slots, crushing bamboo branches and leave into bamboo powder, heat treatment of the bamboo strip and bamboo powder, flattening the bamboo strip, filling the bamboo powder into cracks in the bamboo strip, cooling and pressing into bamboo plate. The process has the natural structure and grains of bamboo maintained and high material utilization rate, and the primordial bamboo plate has high hardness.
Owner:无锡市森大竹木业有限公司
Multi-directional weighted TV and non local self-similarity regularization image deblurring method
The invention discloses a multi-directional weighted TV and non local self-similarity regularization image deblurring method. The method mainly comprises: solving three sub-problems of a blurred image f, a brilliant image x and an auxiliary variable u by utilizing a specific multi-directional weighted TV and non local self-similarity regularization image deblurring model obtained by adding edge detection into a weighted TV deblurring model and integrating a non local self-similarity regularization item; performing iterative updating on parameters lambda and v; and performing periodic execution until an optimal solution is obtained, namely, deblurring the blurred image to obtain the brilliant image x. Experimental results show that a very good deblurring effect can be achieved after the blurred image is deblurred with the method; compared with the prior art, due to the adoption of the edge detection, the edges can be better processed, and not only be false edges eliminated but also textures and details of an image can be better reserved; and meanwhile, the SNR of the image is increased and a better visual effect is achieved.
Owner:TIANJIN UNIV
Method of sanitizing a biological tissue
ActiveUS20050202137A1Preserve the flavorPreserve colorMilk preservationFruit and vegetables preservationBiotechnologyMicroorganism
A method for treating biological tissue, particularly meats for human consumption, so as to sanitize the tissue, is described. The method inactivates microorganisms and pathogenic prions (proteins) in the tissue.
Owner:URTHTECH
Fused SAR image noise reduction processing method based on dictionary learning
ActiveCN105894476AImprove signal-to-noise ratioPreserve textureImage enhancementImage analysisSignal-to-noise ratio (imaging)Image contrast
The invention provides a fused SAR image noise reduction processing method based on dictionary learning. The method utilizes translation invariant non-subsampled contourlet transform filtering to overcome the defect that non-subsampled contourlet transform cannot realize translation invariance and eliminate the scratch effect for noise reduction by means of combination of the non-subsampled contourlet dictionary learning and K-SVD dictionary learning, and at the same time utilizes an adaptive K-SVD dictionary learning algorithm to perform noise reduction and continuously updates the dictionary atoms according to the characteristics of images, not only being able to restrain the image noise, but also being able to preferably reserve the important SAR image information, such as edges and texture; and the method further fuses the two noise reduction effects, so that the signal to noise ratio of the image is greatly improved after fusion of the images; the equivalent number of looks of the image is also improved; the edge and texture information is preferably reserved; the negative influence, such as scratches and darkening of the image contrast, does not appear; and therefore, the comprehensive quality for SAR image noise reduction processing is significantly improved.
Owner:苏州深蓝空间遥感技术有限公司
Elliptical search window and parameter self-adaption non-local mean value denoising method
ActiveCN108765332AEffective Noise SuppressionKeep styleImage enhancementDenoising algorithmImaging processing
The invention relates to an image denoising processing method based on a non-local mean value frame and relates to the image processing technology. The method comprises the steps: employing an elliptical search window which is consistent with an image local region structure, carrying out the adaptive adjustment of the size of the elliptical search window and the internal smoothing parameter valuesof a denoising algorithm according to a local structure of an image, so as to achieve the better estimation of the gray scale value of a to-be-denoised pixel. The method has better robustness for thedenoising effect in different noise environments. Through the analysis of the histogram information and the image matrix information of an image local area, the method achieves the image block size self-adaption, smoothing parameter value self-adaption and search window shape self-adaption based on the non-local mean value algorithm, thereby achieving the effective noise inhibition of the detailparts of the image and maintaining the texture information of the detail parts as much as possible, and achieving the improvement of a conventional non-local mean value algorithm. An experiment resultindicates that the denoising effect and texture part of the improved algorithm are remarkably improved.
Owner:CHENGDU UNIV OF INFORMATION TECH
Stone decoration board
The invention relates to a stone decorated board, comprising a stone decorated faceplate layer, a heat preservation layer and a strengthened layer. Composed of three layers, including the stone decorated faceplate layer, the heat preservation layer and the strengthened layer, the stone decorated board is much better in heat preservation and energy conservation effects than thick and heavy stone boards. Meanwhile, adopting stone boards with thickness of 0.5-5mm, the stone decorated board maintains the original grain and texture of natural stone and is reduced in weight. The stone decorated board is simple and reasonable in structure and is easy to construct.
Owner:温州麦克辛石业有限公司
Super-resolution reconstruction optimization recovery method for under-sampled degraded images
InactiveCN106204438AImprove clarityFast operationGeometric image transformationRecovery methodImaging processing
The invention relates to a super-resolution reconstruction optimization recovery method for under-sampled degraded images, and belongs to the field of image processing. The method comprises the steps of reading out multi-frame under-sampled degraded image sequences, and establishing an image degradation model of the multi-frame under-sampled degraded image sequences; carrying out motion estimation of the multi-frame under-sampled degraded image sequences to obtain relative motion information among the multi-frame under-sampled degraded image sequences; according to the image degradation model and the relative motion information, carrying out super-resolution reconstruction of the multi-frame under-sampled degraded image sequences by using a maximum a posteriori probability (MAP) method to obtain a super-resolution reconstructed image; and for the super-resolution reconstructed image, recovering the image using a Lucy-Richardson (RL) filter deconvolution recovery method to obtain the recovered image. The method can recover a high resolution image and keep the image edge and image detail information.
Owner:BEIHANG UNIV
Image denoising method based on separable total variation model
InactiveCN103955893AOvercoming the Pseudo-Gibbs PhenomenonFast operationImage enhancementHigh peakSignal-to-noise ratio (imaging)
The invention discloses an image denoising method based on a separable total variation model. The method includes the steps that elements on an image are projected to (p, q) space, shrinkage projection is conducted on the (p, q) space, and the denoised image is obtained after iteration. The method particularly includes the steps of building the total variation model with separable elements, solving the separable total variation model, and obtaining the denoised image. An energy function of the image is determined based on the variation method thought, the image is in a smooth state by balancing the energy function, the Pseudo-Gibbs phenomenon is eliminated, the defects that in the prior art, an algorithm is complex and large in operand are overcome by building the discrete total variation model, the operation speed is increased, and the convergence speed and the signal to noise ratio are increased. The calculation speed and accuracy are adjusted by changing the number k of iteration times, the method is flexible to use and has the high peak value signal to noise ratio, random noise in the image can be well removed, details and textures are effectively reserved, and the method is especially suitable for processing random noise.
Owner:XIAN UNIV OF TECH
Image denoising method based on super pixel clustering and sparse representation
ActiveCN106934398AEffective structural featuresImprove peak signal-to-noise ratioImage enhancementImage analysisImage denoisingPattern recognition
The invention provides an image denoising method based on super pixel clustering and sparse representation to solve a technical problem of a low denoised image peak signal to noise ratio and detain information loss of an existing image donoising method. The method comprises the steps of (1) inputting an image to be denoised, (2) carrying out super pixel segmentation and super pixel clustering on the image and obtaining multiple clusters of similar super pixels, (3) carrying out image block extraction and dictionary training on each cluster of similar super pixels, (4) calculating the sparse coefficient of each image block under a corresponding dictionary, (5) searching the similar image block of each image block and calculating the sparse coefficient weighted sum of similar image blocks, (6) restraining the sparse decomposition process of each image block by using the sparse coefficient weighted sum of the similar image blocks, and obtaining a new sparse coefficient, (7) judging whether a current number of iterations is larger than a maximum number of iterations Lambda or not, executing a step (8), otherwise adding 1 to the number of iterations, and executing the step (5), and (8) reconstructing the image to be denoised , and obtaining a denoised image.
Owner:XIDIAN UNIV
Construction method for surface coat of wooden article
ActiveCN106085191AImproved UV aging test performanceGood scrub resistancePretreated surfacesPolyurea/polyurethane coatingsPhotosensitizerAcrylic resin
The invention provides a construction method for surface coat of a wooden article. The method comprises the following steps: (1) carrying out surface sanding treatment; (2) carrying out undercoat treatment and UV drying; (3) carrying out coloring and drying; (4) carrying out sanding and dedusting; (5) carrying out middle-layer treatment; and (6) carrying out topcoat treatment, wherein UV wood raw paint in the step (2) contains the following ingredients in parts by weight: 10-15 parts of hexa-functionality polyurethane acrylic resin, 20-25 parts of bi-functionality polyurethane acrylic resin, 30-35 parts of bi-functionality modified UV monomer, 3-5 parts of photosensitizer, 0.1-0.2 part of leveling agent, 0.3-0.5 part of antifoamer, 0.3-0.5 part of humectant, 15-20 parts of nano-silica dispersion solution and 10-15 parts of gas-phase nano-silica matte powder. By the embodiment of the invention, a relatively thin protective layer is obtained on the surface of wood and has excellent waterproof and wear-resisting properties, and meanwhile, the intrinsic grains and texture of the wood are preserved.
Owner:JIANGMEN GUOMEI CHEM
Method for removing Poisson noise in mage based on non-local similarity low rank matrix
ActiveCN108876750ARetain structurePreserve textureImage enhancementImage analysisPattern recognitionNormal density
The invention discloses a method for removing Poisson noise in mage based on non-local similarity low rank matrix. The method comprises (1) carrying out a noise analysis according to a joint probability density function and a maximum likelihood principle of Poisson distribution, deriving that the removal of the Poisson noise is equivalent to the minimization of the KL divergence function, and thenusing the prior knowledge of the image non-local similarity block as a regular term to solve a stability number; (2)establishing a model, i.e., according to the noise analysis and a posterior probability formulas, obtaining a Poisson low rank noise removing model (the model is as shown in the specification); (3) carrying out a noise removing process, i.e., according to the Poisson low rank noiseremoving model, by optimizing a knowledge, obtaining respectively a iterative formulas for solving F j and f, then obtaining the final solution through the alternating iterative method; (4) outputtinga noise removed image. According to a image non-local similarity, a low rank matrix noise removing model is established, the image noise is effectively removed, and meanwhile the detail information such as the structure, texture, and edges of the image is kept as far as possible by using the rank minimization method, and a better visual effect is obtained.
Owner:HUNAN NORMAL UNIVERSITY
Production method of instant fresh Guilin rice noodles
The invention relates to a production method of instant fresh Guilin rice noodles. The production method comprises the following steps: pretreatment of raw materials, fermentation, curing, dehydration, thread squeezing, quick-freezing, quantitative packing, sterilization and the like. According to the method disclosed by the invention, the used raw materials only contain rice and water, other additives and preservatives are not added, fermentation time is shorter than natural fermentation time, and rice milk is subjected to high-temperature high-pressure treatment, so that the gelatinization degree is high, and moreover, a better sterilization effect is achieved; through low-temperature aging, microwave sterilization for many times and cooling treatment, and a mouthfeel of the shaped ricenoodles is maintained to a maximum extent; in a storage process, the aging degree of the rice noodles is low, and a guarantee period can reach one year.
Owner:地道桂林米粉科技股份有限公司
Bamboo and wood composite board and method for manufacturing same
ActiveCN104493916AImprove mechanical propertiesEasy to processWood veneer joiningWood veneerSurface layer
The invention relates to the technical field of composite boards, and discloses a bamboo and wood composite board and a method for manufacturing the same. The bamboo and wood composite board comprises bamboo layers, wood veneer layers, more than two non-woven fabric layers and adhesive. The corresponding wood veneer layer is arranged between each two bamboo layers, the total quantity of the bamboo layers and the wood veneer layers ranges from 14 to 35, the non-woven fabric layers are arranged between the bamboo layers and the wood veneer layers, the various layers are adhered with one another by the adhesive and are integrally laminated, a surface layer and a bottom layer of the bamboo and wood composite board are bamboo layers respectively, sealing wax layers with waterproof effects are arranged on the surfaces of the bamboo and wood composite board, the bamboo layers are bamboo chip layers or bamboo curtain layers, the thickness of each bamboo layer ranges from 0.5mm to 1.5mm, the thickness of each wood veneer layer ranges from 1.5mm to 2.0mm, the adhesive is made of phenolic resin adhesive with the solid content of 50%, impregnating compounds and more than one type of waterproof agents, mothproofing agents or inorganic flame retardants are added into the phenolic resin adhesive, and the adhesive is applied to double surfaces of each of the bamboo layers, the wood veneer layers and the non-woven fabric layers. The method for manufacturing the bamboo and wood composite board includes steps of manufacturing the adhesive; treating materials of the bamboo layers; treating wood veneers; arraying and assembling blanks; laminating and forming the blanks; treating the surfaces of the blanks and warehousing the finished product.
Owner:DEYI CULTURAL & CREATIVE GRP CO LTD
Wire-cutting enameling style plant specimen handicraft making method
ActiveCN111409386ADetails kept intactSmooth glazeDead plant preservationDecorative surface effectsWire cuttingCarbon film
The invention discloses a wire-cutting enameling style plant specimen handicraft making method. The wire-cutting enameling style plant specimen handicraft making method comprises the steps of preparing plant veins, treating the plant veins, forming a polyacrylonitrile film, performing carbonization treatment on the film, bonding carbon film veins, coating glaze, firing and forming and the like. According to the wire-cutting enameling style plant specimen handicraft making method, the handicraft is obtained by coating surface glaze on the textures of the veins according to color layout, firingto complete coloring, polishing, and cleaning. The carbon film veins are prepared by forming the film of a plant leaf specimen; natural textures of the veins are preserved; the requirement of high temperature-resistant firing can be met; and the fired enamel inner veins are vivid and stereoscopic, and are fine in textures. The wire-cutting enameling style plant specimen handicraft making method combines a plant specimen and an enameling process effectively; the handicraft is fired by applying the enamel according to the texture patterns of the veins; plane drawing and wire cutting on the textures are omitted; and the production efficiency is effectively improved.
Owner:CHUZHOU UNIV
Preparation method of multi-layer transparent wood, prepared transparent wood and application of transparent wood
The invention provides a preparation method of multi-layer transparent wood, the prepared transparent wood and application of the transparent wood. The multi-layer transparent wood is obtained after different sheet wood is dried, part of lignin is removed, and assemblies of different layers are polymerized through a polymer mixed solution. According to the transparent wood prepared from the wood of different tree species, the light transmittance is improved, most of the texture and color of the wood can be reserved, the mechanical property is excellent, deformation is avoided, the strength ishigh, the breadth is large, light transmittance and transparency of thick plates can be achieved, and the characteristics of attractiveness, solid wood texture, mechanical strength and the like of thewood are reserved.
Owner:NANJING FORESTRY UNIV
Layered self-adaptive threshold video denoising method
ActiveCN103747268AAccurate captureSpeed up the rebuilding processDigital video signal modificationImage denoisingComputation complexity
The invention discloses a layered self-adaptive threshold video denoising method. The method comprises the following steps: inputting a video with noise, and performing Surfacelet transformation on the video; respectively performing noise variance estimating on a coefficient decomposed by each Surfacelet layer in a direction sub-band; utilizing the size of the sub-band coefficient of the direction of each layer to calculate an initial threshold; for a high-layer decomposition sub-band, utilizing coefficient field information to perform self-adjustment on the obtained initial threshold of the layer; for other layers, utilizing a direction-energy ratio to perform self-adjustment on the initial threshold of each layer; and utilizing a soft threshold function to perform denoising processing, and reconstructing a denoised coefficient to obtain a denoised video. The method provided by the invention remarkably reduces calculating complexity, improves the PSNR value of the denoised video, can effectively keep the detail information of the video, and can be applied to natural video denoising and three-dimensional image denoising.
Owner:HOHAI UNIV
SAR image despeckling method based on texture enhancement and sparse coding
ActiveCN107085839AGuaranteed Radiation CharacteristicsEnhanced spot reduction effectImage enhancementScale modelPattern recognition
The invention discloses a SAR image despeckling method based on texture enhancement and sparse coding, and solves the problem of failure of effective reservation of detail information including point targets, edges and textures etc. of an image during SAR image despeckling. The method includes: inputting an image; estimating a noise variance of the SAR image and a gradient histogram of a clear image; extracting a similar image block set and calculating a corresponding dictionary; obtaining a despeckled target function with the combination of a Gaussian scale model by employing sparse coding; updating parameters of the target function; reconstructing an image block matrix; reconstructing the image by employing a weight average method; obtaining a final image by enabling the gradient histograms of the reconstructed image and the clear image to be close to the maximum as the constraint; and outputting the final despeckled image. According to the method, the speckle noise in the SAR image can be well suppressed, a uniform area can be very smooth, the detail information including the important point targets, the edges and the textures etc. can be effectively reserved, and the method can be applied to despeckling processing of the images before processing and analysis of the SAR images.
Owner:XIDIAN UNIV
Ghosting reflection removal method based on image gradient sparsity
ActiveCN109978798AReduce processing timeGood overall performanceImage enhancementImage analysisImage basedImage gradient
The invention discloses a ghosting reflection removal method based on image gradient sparsity. The ghosting reflection removal method comprises the following steps of constructing a ghosting reflection model; converting the ghosting reflection model into a ghosting reflection variation model; solving the ghosting reflection variation model; and outputting the model result in a picture mode to obtain a final image with ghosting reflection removed. According to the method, the image reflection is removed, meanwhile, the processing time of the algorithm can be shortened to a great extent, the detail information, such as the structure and the texture of the image, etc., is reserved as much as possible, and the better comprehensive performance is obtained.
Owner:HUNAN NORMAL UNIVERSITY
A kind of bamboo-wood composite board and preparation method thereof
ActiveCN104493916BImprove mechanical propertiesEasy to processWood veneer joiningWood veneerSurface layer
Owner:DEYI CULTURAL & CREATIVE GRP CO LTD
Image denoising process based on Contourlet transforming
ActiveCN101477679BPreserve texturePreserve edge informationImage enhancementPattern recognitionImage denoising
The invention discloses an image denoising method which is based on Contourlet transformation, and belongs to the field of image processing. The realization process of the method comprises the following steps: firstly, carrying out the cycle-spinning of a noisy image so as to obtain a plurality of panning images of the noisy image; then, carrying out the Contourlet transformation of the panning images and optimizing the Contourlet transformation coefficient; then carrying out the Contourlet inverse transformation of the optimized Contourlet coefficient so as to obtain a plurality of panning images of the de-noised noisy image; carrying out the reverse cycle-spinning of the images; and then averaging the images so as to obtain the final de-noised image of the noisy image. The method which utilizes the orientation information-capturing characteristic of Contourlet has the advantages that the fine texture and the edge information of the image can be better reserved as well as the noise can be effectively suppressed by distinguishing the edges and the noise of the noisy image through the threshold method; and the distortion generated on the de-noised image can be effectively eliminated by the cycle-spinning process of the noisy image. Compared with few de-noising methods, the denoising method of the invention further has the advantages of highest PSNR value and optimal de-noising effect.
Owner:XIDIAN UNIV
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