Search results for "Enhancement."

showing 10 items of 557 documents

Dynamic 3D Scene Reconstruction and Enhancement

2017

International audience; In this paper, we present a 3D reconstruction and enhancement approach for high quality dynamic city scene reconstructions. We first detect and segment the moving objects using 3D Motion Segmenta-tion approach by exploiting the feature trajectories' behaviours. Getting the segmentations of both the dynamic scene parts and the static scene parts, we propose an efficient point cloud registration approach which takes the advantages of 3-point RANSAC and Iterative Closest Points algorithms to produce precise point cloud alignment. Furthermore, we proposed a point cloud smoothing and texture mapping framework to enhance the results of reconstructions for both the static a…

Computer sciencePoint cloudComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingRANSACPoint Cloud Registration0202 electrical engineering electronic engineering information engineeringSegmentationComputer vision3D Scene Enhancement[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingComputingMethodologies_COMPUTERGRAPHICSMotion Segmentationbusiness.industry3D reconstruction020207 software engineeringFeature (computer vision)Computer Science::Computer Vision and Pattern Recognition020201 artificial intelligence & image processingArtificial intelligencebusiness3D Reconstruction[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingTexture mappingSmoothing
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A 3D Network Based Shape Prior for Automatic Myocardial Disease Segmentation in Delayed-Enhancement MRI

2021

Abstract Objectives: In this work, a new deep learning model for relevant myocardial infarction segmentation from Late Gadolinium Enhancement (LGE)-MRI is proposed. Moreover, our novel segmentation method aims to detect microvascular-obstructed regions accurately. Material and methods: We first segment the anatomical structures, i.e., the left ventricular cavity and the myocardium, to achieve a preliminary segmentation. Then, a shape prior based framework that fuses the 3D U-Net architecture with 3D Autoencoder segmentation framework to constrain the segmentation process of pathological tissues is applied. Results: The proposed network reached outstanding myocardial segmentation compared wi…

Computer sciencebusiness.industryDeep learning0206 medical engineeringAnatomical structuresBiomedical EngineeringBiophysicsPattern recognition02 engineering and technologyDelayed enhancement020601 biomedical engineeringAutoencoder030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineLeft ventricular cavityLate gadolinium enhancementSegmentationArtificial intelligenceMyocardial diseasebusinessIRBM
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Divisive normalization image quality metric revisited.

2010

Structural similarity metrics and information-theory-based metrics have been proposed as completely different alternatives to the traditional metrics based on error visibility and human vision models. Three basic criticisms were raised against the traditional error visibility approach: (1) it is based on near-threshold performance, (2) its geometric meaning may be limited, and (3) stationary pooling strategies may not be statistically justified. These criticisms and the good performance of structural and information-theory-based metrics have popularized the idea of their superiority over the error visibility approach. In this work we experimentally or analytically show that the above critic…

Computer sciencebusiness.industryImage qualityMachine visionPoolingNormalization (image processing)Wavelet transformImage processingImage enhancementMachine learningcomputer.software_genreAtomic and Molecular Physics and OpticsImage contrastElectronic Optical and Magnetic MaterialsOpticsComputer Vision and Pattern RecognitionArtificial intelligencebusinesscomputerJournal of the Optical Society of America. A, Optics, image science, and vision
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Security Enhancement of Peer-to-Peer Session Initiation

2012

Today, Peer-to-Peer SIP based communication systems have attracted much attention from both the academia and industry. The decentralized nature of P2P might provide the distributed peer-to-peer communication system without help of the traditional SIP server. However, the decentralization features come to the cost of the reduced manageability and create new concerns. Until now, the main focus of research was on the availability of the network and systems, while few attempts are put on protecting privacy. In this chapter, we investigate on P2PSIP security issues and introduce two enhancement solutions: central based security and distributed trust security, both of which have their own advanta…

Computer sciencebusiness.industryInternet privacySecurity enhancementSession (computer science)Peer-to-peercomputer.software_genrebusinesscomputer
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A Sub-Symbolic Approach to Word Modelling for Domain Specific Speech Recognition

2006

In this work a sub-symbolic technique for automatic, data driven language models construction is presented. Such a technique can be used to arrange a language-modelling module, which can be easily integrated in existing speech recognition architectures, such as the well-found HTK architecture. The proposed technique takes advantages from both the traditional LSA approach and from a novel application of a probability space metric known as "Hellinger's distance". Experimental trials are also presented, in order to validate the proposed approach.

Computer sciencebusiness.industrySpeech recognitionMachine learningcomputer.software_genreDomain (software engineering)Speech enhancementMetric (mathematics)Artificial intelligenceLanguage modelHellinger distanceHidden Markov modelbusinesscomputerNatural languageWord (computer architecture)Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05)
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Restoration and Enhancement of Historical Stereo Photos Through Optical Flow

2021

Restoration of digital visual media acquired from repositories of historical photographic and cinematographic material is of key importance for the preservation, study and transmission of the legacy of past cultures to the coming generations. In this paper, a fully automatic approach to the digital restoration of historical stereo photographs is proposed. The approach exploits the content redundancy in stereo pairs for detecting and fixing scratches, dust, dirt spots and many other defects in the original images, as well as improving contrast and illumination. This is done by estimating the optical flow between the images, and using it to register one view onto the other both geometrically …

Computer sciencemedia_common.quotation_subjectNoise reductionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOptical flow02 engineering and technologyConsistency (database systems)Image restoration0202 electrical engineering electronic engineering information engineeringRedundancy (engineering)Contrast (vision)Computer visionImage restorationmedia_commonSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - Informaticabusiness.industryOptical flow021001 nanoscience & nanotechnologySensor fusionStereo matchingTransmission (telecommunications)Image denoisingImage enhancementGradient filtering020201 artificial intelligence & image processingArtificial intelligence0210 nano-technologybusiness
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Artificial mosaics

2005

Art often provides valuable insight that can be applied to technological innovations, especially in the fields of image processing and computer graphics. In this paper we present a method to transform a raster input image into a good-quality mosaic: an “artificial mosaic.” The creation of mosaics of artistic quality is challenging because the tiles that compose a mosaic, typically small polygons, must be packed tightly and yet must follow and emphasize orientations chosen by the artist. The proposed method can reproduce the colors of the original image and emphasize relevant boundaries by placing tiles along edge directions. No user intervention is needed to detect the boundaries: they are …

Computer sciencemedia_common.quotation_subjectmosaic; non-photorealistic rendering; enhancementComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMosaic Non photorealistic rendering Distance transform Image processing and enhancementAlong edgeImage processingMosaic (geodemography)computer.file_formatComputer Graphics and Computer-Aided Designnon-photorealistic renderingImage (mathematics)Computer graphicsSimple (abstract algebra)Computer graphics (images)Quality (business)mosaicComputer Vision and Pattern RecognitionRaster graphicsenhancementcomputerSoftwareComputingMethodologies_COMPUTERGRAPHICSmedia_commonThe Visual Computer
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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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Effects of predator and shelter conditioning on hatchery-reared white seabream Diplodus sargus (L., 1758) released at sea

2012

Abstract The behavioural deficit of hatchery reared (HR) fish used for stock enhancement is the main cause of their low survival in the wild. In this study the effects of predator and shelter conditioning on survival and dispersal of HR white seabream ( Diplodus sargus ) released at sea were investigated. The hypotheses were that conditioned white seabream would avoid predators more efficiently and would be more capable to shelter, showing higher survival and smaller dispersal than naive fish. Six thousand HR white seabream (6.32 ± 0.93 cm total length) were allocated in twelve plastic tanks and divided in four experimental groups: three groups were conditioned with a predator, a refuge or …

CongerFish conditioning Stock enhancement Diplodus sargusVIE tag SicilyZoologyDiplodusAquatic ScienceBiologybiology.organism_classificationHatcheryPredationFisheryConditioningBiological dispersalPredatorSargusAquaculture
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Towards a Non-Intrusive Context-Aware Speech Quality Model

2020

Understanding how humans judge perceived speech quality while interacting through Voice over Internet Protocol (VoIP) applications in real-time is essential to build a robust and accurate speech quality prediction model. Speech quality is degraded in the presence of background noise reducing the Quality of Experience (QoE). Speech Enhancement (SE) algorithms can improve speech quality in noisy environments. The publicly available NOIZEUS speech corpus contains speech in environmental background noise babble, car, street, and train at two Signal-to-noise ratio (SNRs) 5dB and 10dB. Objective Speech Quality Metrics (OSQM) are used to monitor and measure speech quality for VoIP applications. Th…

Context modelVoice activity detectionNoise measurementComputer scienceSpeech recognitionMean opinion score020206 networking & telecommunicationsSpeech corpus02 engineering and technology01 natural sciencesBackground noiseSpeech enhancement0103 physical sciences0202 electrical engineering electronic engineering information engineeringQuality of experience010301 acoustics2020 31st Irish Signals and Systems Conference (ISSC)
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