Search results for "Mosaic"

showing 10 items of 208 documents

Use of wavelet for image processing in smart cameras with low hardware resources

2013

International audience; Images from embedded sensors need digital processing to recover high-quality images and to extract features of a scene. Depending on the properties of the sensor and on the application, the designer fits together different algorithms to process images. In the context of embedded devices, the hardware supporting those applications is very constrained in terms of power consumption and silicon area. Thus, the algorithms have to be compliant with the embedded specifications i.e. reduced computational complexity and low memory requirements. We investigate the opportunity to use the wavelet representation to perform good quality image processing algorithms at a lower compu…

Computational complexity theoryComputer scienceImage qualityEmbedded systemsComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processing02 engineering and technology[SPI]Engineering Sciences [physics]WaveletDigital image processing0202 electrical engineering electronic engineering information engineering[ SPI ] Engineering Sciences [physics]Computer visionSmart cameraDWTDigital signal processingDenoisingDemosaicingbusiness.industry020202 computer hardware & architectureDemosaicingRecognitionHardware and Architecture020201 artificial intelligence & image processingArtificial intelligencebusinessWaveletSoftwareComputer hardware
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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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Fast Image Mosaicing for Panoramic Face Recognition

2006

In this article, we present some development results of a system that performs mosaicing (or mosaicking) of panoramic faces. Our objective is to study the feasibility of panoramic face construction in real-time. To do so, we built a simple acquisition system composed of 5 standard cameras which, together, can take simultaneously 5 views of a face at different angles. Then, we chose an easily hardware-achievable algorithm, consisting of successive linear transformations, in order to compose a panoramic face from these 5 views. The method has been tested on a relatively large number of faces. In order to validate our system of panoramic face mosaicing, we also conducted a preliminary study on…

Computer sciencebusiness.industryFast Fourier transformImage mosaickingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFacial recognition systemImage (mathematics)Artificial IntelligenceArtificial visionFace (geometry)Principal component analysisMedia TechnologyComputer visionArtificial intelligenceElectrical and Electronic EngineeringbusinessJournal of Multimedia
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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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Restauro di una Chiesa Bizantina a En-Nitl in Giordana.

2009

L'articolo descrive il progetto di restauro di due piccole Chiese. Dopo aver individuato la successione temporale delle strutture murarie, l’esame si è concentrato sul mosaico rinvenuto nella Chiesa principale, dedicata a San Sergio. Il progetto è suddiviso in tre fasi: la prima fase riguarda l’intervento di conservazione del mosaico pavimentale; la seconda fase prende in esame la copertura della Chiesa, con una tenda di quelle utilizzate dei beduini del deserto; la terza fase è dedicata al cantiere di restauro.

Copertura sito archeologico restauro mosaici
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Rewriting antiquity, renewing Rome. The Identity of the Eternal City through Visual Art, Monumental Inscriptions and the Mirabilia

2011

AbstractDuring the eleventh and twelfth centuries the Church began a process of renovation (renovatio) and the city of Rome was given new meanings. Antiquity is part of the identity of the Eternal City; the reuse or reframing of aspects of antiquity inevitably transformed the image of Rome. Public spaces, architecture and objects were given new Christian readings. Inscriptions, present both in sacred and secular settings, played an important role. A similar rewriting can also be found in travel literature and descriptions of the city, such as in the Mirabilia urbis Rome, where ancient monuments were re-interpreted to demonstrate the superiority of Christianity. Inscriptions were used as sym…

Cultural StudiesLinguistics and LanguageHistoryMoyen ÂgeHistory[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistorymedia_common.quotation_subjectRomeSculptureEleventhLanguage and LinguisticsEpigraphy060104 historyRome; Antiquity; Epigraphy; Church Reform; Mosaics; Architecture; Mirabilia Urbis Romae; Sculpture; SpoliaArchitecture0601 history and archaeologyArchitectureValue (semiotics)AntiquityMosaicsComputingMilieux_MISCELLANEOUSmedia_commonHistoire de l'artSculpture[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and PrehistoryReligious studies06 humanities and the artsChristianitySpoliaEpigraphyMirabilia Urbis Romae[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and PrehistoryChurch ReformIdentity (philosophy)AltarSettore L-ART/01 - Storia dell'Arte MedievaleClassics
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"Euesperides (Benghazi): Preliminary report on the Spring 2004 Season".

2004

AbstractThis article reports on the sixth season of the ongoing project at Euesperides (Benghazi). Excavation in Area P established the date of construction of the penultimate phase (and therefore of the plain pebble mosaic with inscription published last year) as 300-282 BC, following the abandonment and demolition of the antepenultimate phase beneath it. An area used for the preparation and cutting of the materials employed in the final-phase mosaics has been identified. In Area Q the dismantling of the street sequence was completed, and the W building fronting the street found to date from the fifth century BC. In Area R the crushed deposits ofMurexshell were removed and working surfaces…

Cultural StudiesMediterranean climateHistoryMurexbiologyExcavationAncient historybiology.organism_classificationMosaicSequence (geology)GeographyHarbourPotteryAmphoracomputercomputer.programming_languageLibyan Studies
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A wavelet-based demosaicking algorithm for embedded applications

2010

This paper presents an alternative to the spatial reconstruction of the sampled color filter array acquired through a digital image sensor. A demosaicking operation has to be applied to the raw image to recover the full-resolution color image. We present a low-complexity demosaicking algorithm processing in the wavelet domain. Produced images are available at the output of the algorithm either in the spatial representation or directly in the wavelet domain for high-level post processing in the latter domain. Results show that the computational complexity has been lowered by a factor of five compared to state of the art demosaicking algorithms.

DemosaicingComputer scienceColor imagebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONWavelet transformIterative reconstructionDigital imageWaveletColor filter arrayComputer visionArtificial intelligencebusinessImage resolutionAlgorithm2010 Conference on Design and Architectures for Signal and Image Processing (DASIP)
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Optimal extension of multispectral image demosaicking algorithms for setting up a one-shot camera video acquisition system

2022

Multispectral images are acquired using multispectral cameras equipped with CCD or CMOS sensors which sample the visible or near infrared spectrum according to specific spectral bands. A mosaic of multispectral MSFA filters is superimposed on the surface of the sensors to acquire a raw image called an MSFA image. In the MSFA image, only one spectral band is available per pixel, the demosaicking process is necessary to estimate the multispectral image at full spatio-spectral resolution. Motivated by the success of single-sensor cameras capturing the image in a single exposure that use CFA filters, we performed a comparative study of a few recent color image demosaicking algorithms and experi…

Demosaicking algorithmAdaptive Kernel regressionInterpolation bilinéaire pondéréeMultispectral imagesnoyau adaptatif de régressionBiorthogonal waveletsMultispectral filter arrayRéseau de filtres multispectrauxImages multispectralesConvolutionComposante de luminance[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]LMMSEWeighted bilinear interpolationAlgorithme de démosaïquageLuminance componentOndelettes biorthogonales
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Discrete wavelet transform based multispectral filter array demosaicking

2013

International audience; The idea of colour filter array may be adapted to multi-spectral image acquisition by integrating more filter types into the array, and developing associated demosaicking algorithms. Several methods employing discrete wavelet transform (DWT) have been proposed for CFA demosaicking. In this work, we put forward an extended use of DWT for mul-tispectral filter array demosaicking. The extension seemed straightforward, however we observed striking results. This work contributes to better understanding of the issue by demonstrating that spectral correlation and spatial resolution of the images exerts a crucial influence on the performance of DWT based demosaicking.

Discrete wavelet transformDWT based demosaickingHyperspectral imagingComputer scienceMultispectralMultispectral image[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technologymultispectral filter array demosaicking01 natural sciencesfilter array[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processingimage colour analysis[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringComputer visionOptical filterImage resolutionimage segmentationDemosaicingmultispectral image acquisitionHyperspectral imagingimagingspectral correlationCorrelationCFA demosaicking[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]020201 artificial intelligence & image processing[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingImage color analysis010309 optics0103 physical sciencesoptical filtersArraysspatial images resolution[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingdiscrete wavelet transformbusiness.industryImage segmentationBinary treesDiscrete wavelet transformscolour filter arrayspectral analysisInterpolationdemosaickingFilter (video)Artificial intelligencebusinessimage resolution
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