Search results for "Interpolation"

showing 10 items of 331 documents

Extension of luminance component based demosaicking algorithm to 4- and 5-band multispectral images

2021

Abstract Multispectral imaging systems are currently expanding with a variety of multispectral demosaicking algorithms. But these algorithms have limitations due to the remarkable presence of artifacts in the reconstructed image. In this paper, we propose a powerful multispectral image demosaicking method that focuses on the G band and luminance component. We've first identified a relevant 4-and 5-band multispectral filter array (MSFA) with the dominant G band and then proposed an algorithm that consistently estimates the missing G values and other missing components using a convolution operator and a weighted bilinear interpolation algorithm based on the luminance component. Using the cons…

Computer engineering. Computer hardwareDemosaicingDemosaicking algorithmComputer scienceMultispectral imageBilinear interpolationQA75.5-76.95General MedicineExtension (predicate logic)Filter (signal processing)Multispectral filter arrayLuminanceConvolutionTK7885-7895G bandElectronic computers. Computer scienceComponent (UML)Weighted bilinear interpolationLuminance componentAlgorithmArray
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An abstract inf-sup problem inspired by limit analysis in perfect plasticity and related applications

2021

This paper is concerned with an abstract inf-sup problem generated by a bilinear Lagrangian and convex constraints. We study the conditions that guarantee no gap between the inf-sup and related sup-inf problems. The key assumption introduced in the paper generalizes the well-known Babuška–Brezzi condition. It is based on an inf-sup condition defined for convex cones in function spaces. We also apply a regularization method convenient for solving the inf-sup problem and derive a computable majorant of the critical (inf-sup) value, which can be used in a posteriori error analysis of numerical results. Results obtained for the abstract problem are applied to continuum mechanics. In particular…

Computer scienceApplied MathematicsRegular polygonDuality (optimization)Bilinear interpolationPlasticityRegularization (mathematics)Mathematics::Numerical Analysissymbols.namesakeLimit analysisTheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITYModeling and SimulationConvex optimizationsymbolsApplied mathematicsLagrangianMathematical Models and Methods in Applied Sciences
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A chirp-z transform-based synchronizer for power system measurements

2005

In the last few years, increased interest in power and voltage quality has forced international working groups to standardize testing and measurement techniques. IEC 61000-4-30, which defines the characteristics of instrumentation for the measurement of power quality, refers to IEC 61000-4-7 for the evaluation of harmonics and interharmonics. This standard, revised in 2002, requires a synchronous sampling of voltage or current signal, in order to limit errors and to ensure reproducible results even in the presence of nonstationary signals. Therefore, an accurate estimation of the fundamental frequency is required, even in the presence of disturbances. In this paper, an algorithm to detect t…

Computer scienceBluestein's FFT algorithmFast Fourier transformChirp-z transform power quality synchronizationFundamental frequencyPower (physics)Electric power systemSampling (signal processing)SynchronizerHarmonicsElectronic engineeringElectrical and Electronic EngineeringInstrumentationSettore ING-INF/07 - Misure Elettriche E ElettronicheInterpolation
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Fake Nodes approximation for Magnetic Particle Imaging

2020

Accurately reconstructing functions with discontinuities is the key tool in many bio-imaging applications as, for instance, in Magnetic Particle Imaging (MPI). In this paper, we apply a method for scattered data interpolation, named mapped bases or Fake Nodes approach, which incorporates discontinuities via a suitable mapping function. This technique naturally mitigates the Gibbs phenomenon, as numerical evidence for reconstructing MPI images confirms.

Computer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONradial basis functionsFunction (mathematics)Magnetic Particle ImagingClassification of discontinuitieskernelsinterpolationGibbs phenomenonSettore MAT/08 - Analisi Numericasymbols.namesakeMagnetic particle imagingsymbolsKey (cryptography)Radial basis functioninterpolation; kernels; Magnetic Particle Imaging; radial basis functionsGFadial basis functionAlgorithmComputingMethodologies_COMPUTERGRAPHICSInterpolation2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)
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Optimal Filter Estimation for Lucas-Kanade Optical Flow

2012

Optical flow algorithms offer a way to estimate motion from a sequence of images. The computation of optical flow plays a key-role in several computer vision applications, including motion detection and segmentation, frame interpolation, three-dimensional scene reconstruction, robot navigation and video compression. In the case of gradient based optical flow implementation, the pre-filtering step plays a vital role, not only for accurate computation of optical flow, but also for the improvement of performance. Generally, in optical flow computation, filtering is used at the initial level on original input images and afterwards, the images are resized. In this paper, we propose an image filt…

Computer scienceGaussianComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOptical flowGaussian blurlcsh:Chemical technologyGaussian filteringcomputer.software_genreBiochemistryArticleAnalytical Chemistryoptical flowsymbols.namesakeLucas–Kanade methodoptical flow; Lucas-Kanade; Gaussian filtering; optimal filteringGaussian functionlcsh:TP1-1185SegmentationComputer visionLucas-KanadeElectrical and Electronic EngineeringInstrumentationbusiness.industryoptimal filteringMotion detectionFilter (signal processing)Atomic and Molecular Physics and OpticsComputer Science::Computer Vision and Pattern RecognitionsymbolsArtificial intelligenceData miningMotion interpolationbusinesscomputerData compressionSensors
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(Approximate) Low-Mode Averaging with a new Multigrid Eigensolver

2015

We present a multigrid based eigensolver for computing low-modes of the Hermitian Wilson Dirac operator. For the non-Hermitian case multigrid methods have already replaced conventional Krylov subspace solvers in many lattice QCD computations. Since the $\gamma_5$-preserving aggregation based interpolation used in our multigrid method is valid for both, the Hermitian and the non-Hermitian case, inversions of very ill-conditioned shifted systems with the Hermitian operator become feasible. This enables the use of multigrid within shift-and-invert type eigensolvers. We show numerical results from our MPI-C implementation of a Rayleigh quotient iteration with multigrid. For state-of-the-art lat…

Computer scienceHigh Energy Physics::LatticeHigh Energy Physics - Lattice (hep-lat)FOS: Physical sciencesRayleigh quotient iterationKrylov subspaceDirac operatorComputer Science::Numerical AnalysisHermitian matrixsymbols.namesakeHigh Energy Physics - LatticeMultigrid methodComputer Science::Mathematical SoftwaresymbolsApplied mathematicsSelf-adjoint operatorEigenvalues and eigenvectorsInterpolationProceedings of The 33rd International Symposium on Lattice Field Theory — PoS(LATTICE 2015)
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Three-dimensional Fuzzy Kernel Regression framework for registration of medical volume data

2013

Abstract In this work a general framework for non-rigid 3D medical image registration is presented. It relies on two pattern recognition techniques: kernel regression and fuzzy c-means clustering. The paper provides theoretic explanation, details the framework, and illustrates its application to implement three registration algorithms for CT/MR volumes as well as single 2D slices. The first two algorithms are landmark-based approaches, while the third one is an area-based technique. The last approach is based on iterative hierarchical volume subdivision, and maximization of mutual information. Moreover, a high performance Nvidia CUDA based implementation of the algorithm is presented. The f…

Computer sciencebusiness.industryImage registrationMutual informationMachine learningcomputer.software_genreFuzzy logicCUDANon-rigid registration Fuzzy regression Mutual information Interpolation GPU computingArtificial IntelligenceSignal ProcessingPattern recognition (psychology)Kernel regressionComputer Vision and Pattern RecognitionArtificial intelligenceData miningGeneral-purpose computing on graphics processing unitsCluster analysisbusinesscomputerSoftwareInterpolationPattern Recognition
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Real-time characterization of aspect flaws on warped surface by artificial vision

1997

Artificial vision is an efficient means of assuring the quality of a certain class of products. The vision system must respect the industrial constraints, in particular, the production rate. The geometrical features of flaws are pertinent information used for the acceptance of the controlled product. This article presents a real-time algorithm for the geometrical characterization of defects located on warped objects. The algorithms described enable the characterization of defects by their size and their 2-D shape. Both parameters are calculated in real time by simple reference to a look-up table. The 2-D shape is obtained by a geometrical transform and an interpolation. The efficiency of th…

Computer sciencebusiness.industryMachine visionOptical engineeringGeneral EngineeringImage processingImage segmentation3D modelingAtomic and Molecular Physics and OpticsProduct (mathematics)Computer visionArtificial intelligencebusinessLinear filterInterpolationOptical Engineering
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A Parallel Approach to HRTF Approximation and Interpolation Based on a Parametric Filter Model

2017

[EN] Spatial audio-rendering techniques using head-related transfer functions (HRTFs) are currently used in many different contexts such as immersive teleconferencing systems, gaming, or 3-D audio reproduction. Since all these applications usually involve real-time constraints, efficient processing structures for HRTF modeling and interpolation are necessary for providing real-time binaural audio solutions. This letter presents a parametric parallel model that allows us to perform HRTF filtering and interpolation efficiently from an input HRTF dataset. The resulting model, which is an adaptation from a recently proposed modeling technique, not only reduces the size of HRTF datasets signific…

Computer scienceparallel filters02 engineering and technologySolid modelingbinaural synthesisTransfer functionTECNOLOGIA ELECTRONICA030507 speech-language pathology & audiology03 medical and health sciencesgraphic processing unit (GPU)0202 electrical engineering electronic engineering information engineeringCIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIALhead-related transfer function (HRTF) modelingComputer visionElectrical and Electronic EngineeringAdaptation (computer science)Parametric statisticsbusiness.industryApplied MathematicsTeleconferenceBinaural synthesis020206 networking & telecommunicationsFilter (signal processing)interpolationInterpolationGraphic processing unit (GPU)Signal ProcessingHead-related transfer function (HRTF) modelingParallel filtersArtificial intelligence0305 other medical sciencebusinessAlgorithmInterpolation
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Morse Description and Geometric Encoding of Digital Elevation Maps

2004

Two complementary geometric structures for the topographic representation of an image are developed in this work. The first one computes a description of the Morse-topological structure of the image, while the second one computes a simplified version of its drainage structure. The topographic significance of the Morse and drainage structures of digital elevation maps (DEMs) suggests that they can been used as the basis of an efficient encoding scheme. As an application, we combine this geometric representation with an interpolation algorithm and lossless data compression schemes to develop a compression scheme for DEMs. This algorithm achieves high compression while controlling the maximum …

ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processingData_CODINGANDINFORMATIONTHEORYSensitivity and SpecificityPattern Recognition AutomatedPhysics::GeophysicsImaging Three-DimensionalCompression (functional analysis)Image Interpretation Computer-AssistedComputer SimulationComputer visionMorse theoryMathematicsLossless compressionbusiness.industryReproducibility of ResultsNumerical Analysis Computer-AssistedSignal Processing Computer-AssistedData CompressionImage EnhancementTopographic mapComputer Graphics and Computer-Aided DesignArtificial intelligencebusinessAlgorithmAlgorithmsSoftwareData compressionImage compressionInterpolationIEEE Transactions on Image Processing
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