Search results for "RECONSTRUCTION"

showing 10 items of 784 documents

A probabilistic compressive sensing framework with applications to ultrasound signal processing

2019

Abstract The field of Compressive Sensing (CS) has provided algorithms to reconstruct signals from a much lower number of measurements than specified by the Nyquist-Shannon theorem. There are two fundamental concepts underpinning the field of CS. The first is the use of random transformations to project high-dimensional measurements onto a much lower-dimensional domain. The second is the use of sparse regression to reconstruct the original signal. This assumes that a sparse representation exists for this signal in some known domain, manifested by a dictionary. The original formulation for CS specifies the use of an l 1 penalised regression method, the Lasso. Whilst this has worked well in l…

Signal processing0209 industrial biotechnologyBayesian methodsComputer scienceTKAerospace Engineering02 engineering and technologycomputer.software_genre01 natural sciencesRelevance vector machineNDTSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di Macchine020901 industrial engineering & automationLasso (statistics)0103 physical sciencesUltrasoundUncertainty quantification010301 acousticsSparse representationCivil and Structural EngineeringSignal processingSignal reconstructionMechanical EngineeringProbabilistic logicSparse approximationCompressive sensingComputer Science ApplicationsCompressed sensingControl and Systems EngineeringRelevance Vector MachineData miningcomputer
researchProduct

Adaptive motion estimation and video vector quantization based on spatiotemporal non-linearities of human perception

1997

The two main tasks of a video coding system are motion estimation and vector quantization of the signal. In this work a new splitting criterion to control the adaptive decomposition for the non-uniform optical flow estimation is exposed. Also, a novel bit allocation procedure is proposed for the quantization of the DCT transform of the video signal. These new approaches are founded on a perception model that reproduce the relative importance given by the human visual system to any location in the spatial frequency, temporal frequency and amplitude domain of the DCT transform. The experiments show that the proposed procedures behave better than their equivalent (fixed-block-size motion estim…

Signal processingAdaptive algorithmComputer sciencebusiness.industryTrellis quantizationQuantization (signal processing)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONVector quantizationIterative reconstructionOptical flow estimationMotion estimationComputer Science::MultimediaHuman visual system modelDiscrete cosine transformComputer visionArtificial intelligencebusinessQuantization (image processing)
researchProduct

A nonstationary model for the analysis of transient speech signals

1987

In this correspondence, a model is presented for the analysis of transient speech signals, which is based on a sum of the impulsive responses corresponding to a number of poles with time-dependent parameters. The aim of this analysis is to obtain discriminative features of the different transient elements of speech.

Signal processingComputer scienceSignal reconstructionSpeech recognitionSpeech processingsymbols.namesakeFourier transformDiscriminative modelComputer Science::SoundFrequency domainSignal ProcessingsymbolsTransient (oscillation)Decoding methodsIEEE Transactions on Acoustics, Speech, and Signal Processing
researchProduct

Depth-of-Field Enhancement in Integral Imaging by Selective Depth-Deconvolution

2014

One of the major drawbacks of the integral imaging technique is its limited depth of field. Such limitation is imposed by the numerical aperture of the microlenses. In this paper, we propose a method to extend the depth of field of integral imaging systems in the reconstruction stage. The method is based on the combination of deconvolution tools and depth filtering of each elemental image using disparity map information. We demonstrate our proposal presenting digital reconstructions of a 3-D scene focused at different depths with extended depth of field.

Signal processingIntegral imagingOptical diffractionbusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONIterative reconstructionÒpticaCondensed Matter PhysicsElectronic Optical and Magnetic MaterialsNumerical apertureOpticsComputer visionDepth of fieldDeconvolutionArtificial intelligenceElectrical and Electronic EngineeringImage sensorbusinessGeologyJournal of Display Technology
researchProduct

Optical encryption with compressive ghost imaging

2011

Ghost imaging (GI) is a novel technique where the optical information of an object is encoded in the correlation of the intensity fluctuations of a light source. Computational GI (CGI) is a variant of the standard procedure that uses a single bucket detector. Recently, we proposed to use CGI to encrypt and transmit the object information to a remote party [1]. The optical encryption scheme shows compressibility and robustness to eavesdropping attacks. The reconstruction algorithm provides a relative low quality images and requires high acquisitions times. A procedure to overcome such limitations is to combine CGI with compressive sampling (CS), an advanced signal processing theory that expl…

Signal processingLight intensityCompressed sensingbusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processingReconstruction algorithmIterative reconstructionGhost imagingEncryptionbusinessAlgorithm2011 Conference on Lasers and Electro-Optics Europe and 12th European Quantum Electronics Conference (CLEO EUROPE/EQEC)
researchProduct

Continuous Refocusing for Integral Microscopy with Fourier Plane Recording

2018

Integral or light field imaging is an attractive approach in microscopy, as it allows to capture 3D samples in just one shot and explore them later through changing the focus on particular depth planes of interest. However, it requires a compromise between spatial and angular resolution on the 2D sensor recording the microscopic images. A particular setting called Fourier Integral Microscope (FIMic) allows maximizing the spatial resolution for the cost of reducing the angular one. In this work, we propose a technique, which aims at reconstructing the continuous light field from sparse FIMic measurements, thus providing the functionality of continuous refocus on any arbitrary depth plane. Ou…

Signal processingMicroscopebusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologyIterative reconstruction113 Computer and information scienceslaw.inventionLens (optics)symbols.namesakeOpticsFourier transformShearletlawMicroscopy0202 electrical engineering electronic engineering information engineeringsymbols020201 artificial intelligence & image processingAngular resolutionbusinessImage resolutionLight field
researchProduct

Signal reconstruction, modeling and simulation of a vehicle full-scale crash test based on Morlet wavelets

2012

Creating a mathematical model of a vehicle crash is a task which involves considerations and analysis of different areas which need to be addressed because of the mathematical complexity of a crash event representation. Therefore, to simplify the analysis and enhance the modeling process, in this paper a novel wavelet-based approach is introduced to reproduce acceleration pulse of a vehicle involved in a crash event. The acceleration of a colliding vehicle is measured in its center of gravity-this crash pulse contains detailed information about vehicle behavior throughout a collision. Three types of signal analysis are elaborated here: time domain analysis (i.e. description of kinematics of…

Signal processingSignal reconstructionComputer scienceMultiresolution analysisCognitive NeuroscienceCrashComputer Science Applications1707 Computer Vision and Pattern RecognitionCrash testComputer Science ApplicationsMorlet wavelet; Multiresolution analysis; Signal reproduction; Vehicle crash modeling; Computer Science Applications1707 Computer Vision and Pattern Recognition; Cognitive Neuroscience; Artificial IntelligenceWaveletMorlet waveletArtificial IntelligenceFrequency domainTime domainSignal reproductionMorlet waveletMultiresolution analysisVehicle crash modelingSimulation
researchProduct

Nuove ricerche a Solunto (2021)

2021

New researches in Solunto (2021) · The paper presents an overview of the ongoing researches in Solunto by the University of Palermo. In 2021 stratigraphical sondages were undertaken in two areas of the town: 1) in the great sanctuary above the theatre, in the frame of a major project aimed at addressing several still unresolved issues. That area, as a matter of fact, has never been considered as a whole; the sacred buildings have not been studied, and their mutual relationships and the links with the adjacent terraces have never been properly examined; 2) in the North Baths near the agora, as a corollary of the systematic study of water management, some sondages were made by G. Polizzi. Fin…

Solunto Stratigraphic Analyses Sanctuaries above the Theatre Phases Virtual Reconstruction.Settore L-ANT/10 - Metodologie Della Ricerca ArcheologicaSettore L-ANT/07 - Archeologia Classica
researchProduct

4D paleoenvironmental evolution of the Early Triassic Sonoma Foreland Basin (western USA)

2017

In the wake of the Mesozoic, the Early Triassic (~251.95 Ma) corresponds to the aftermath of the most severe mass extinction of the Phanerozoic: the end-Permian crisis, when life was nearly obliterated (e.g., 90% of marine species disappeared). Consequences of this mass extinction are thought to have prevailed for several millions of years, implying a delayed recovery lasting the whole Early Triassic, if not more. Several paradigms have been established and associated to a delayed biotic recovery scenario expected to have resulted from harsh and deleterious paleoenvironments. These paradigms include a global anoxia in the marine realm, a “Lilliput” effect, and the presence of “disaster” tax…

Sonoma Foreland BasinBassin Ouest-Américain[SDU.STU.GM] Sciences of the Universe [physics]/Earth Sciences/GeomorphologyLower TriassicWestern USAReconstitutions paléoenvironnementalesRediversification post-CriseReconstruction palinspastiquesPost-Crisis recoverySonoma Foreland Basin western USA Early Triassic integrated study sedimentology geochemistry paleontology structural geology numerical modelling GIS geological mapping paleoenvironmental reconstructionsPaleoenvironmental reconstructionsPalinspastic reconstructionsTrias inférieur
researchProduct

Moderne Bildverarbeitungsverfahren als Unterstützung der räumlichen Rekonstruktion histologischer Strukturen

1994

Summary Spatial reconstruction of anatomic and histologic structures is of increasing importance in biological and medical research. A special kind of disease — hereditary opalescent dentine (HOD) — offered a good chance for the use of a comfortable image-analysis system (IBAS, Kontron) in combination with a special software for three-dimensional reconstruction. New aspects of the morphologic organisation of a key structure of HOD — the giant dentinal canals — could be shown, thus supporting the hypothesis of a vasal origin.

Spatial reconstructionHereditary opalescent dentinebusiness.industryDentistryGeneral MedicineAnatomyPsychologybusinessDevelopmental BiologyAnnals of Anatomy - Anatomischer Anzeiger
researchProduct