Search results for "Digital image processing"

showing 10 items of 81 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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Unmanned Aerial Vehicle-Based Non Destructive Diagnostics

2018

The paper proposes a cloud platform for analyzing the radiometric infrared videos uploaded by drones which patrol large photovoltaic plants. Thanks to artificial vision algorithms, it does not require any human support to select and associate the framed PV modules to the corresponding ones in the topology of the photovoltaic plant. The algorithm implements an innovative diagnostic protocol, which evaluates the thermal state of the photovoltaic module, whichever the environmental conditions are. The data automatically computed and collected in a multimedia database provide the O&M technicians with significant information to monitor the ageing of each module of the photovoltaic plant. The pro…

Computer scienceComputer Networks and CommunicationsMultimedia databaseReal-time computingEnergy Engineering and Power TechnologyCloud computingPV modulesdigital image processingIndustrial and Manufacturing EngineeringUploadSoftwareComputer aided diagnostics; digital image processing; drone based monitoring; PV cells; PV modules; thermography; Artificial Intelligence; Computer Networks and Communications; Computer Science Applications1707 Computer Vision and Pattern Recognition; Energy Engineering and Power Technology; Renewable Energy Sustainability and the Environment; Industrial and Manufacturing Engineering; InstrumentationPV moduleArtificial IntelligenceComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMSInstrumentation (computer programming)Renewable EnergyProtocol (object-oriented programming)InstrumentationSustainability and the Environmentbusiness.industryPV cellsRenewable Energy Sustainability and the EnvironmentPV cellPhotovoltaic systemComputer Science Applications1707 Computer Vision and Pattern RecognitionDronedrone based monitoringthermographySettore ING-IND/31 - ElettrotecnicaComputer Networks and CommunicationComputer aided diagnosticsbusinesscomputer aided diagnostic
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Image Inpainting Methods Evaluation and Improvement

2014

With the upgrowing of digital processing of images and film archiving, the need for assisted or unsupervised restoration required the development of a series of methods and techniques. Among them, image inpainting is maybe the most impressive and useful. Based on partial derivative equations or texture synthesis, many other hybrid techniques have been proposed recently. The need for an analytical comparison, beside the visual one, urged us to perform the studies shown in the present paper. Starting with an overview of the domain, an evaluation of the five methods was performed using a common benchmark and measuring the PSNR. Conclusions regarding the performance of the investigated algorith…

Computer scienceInpaintinglcsh:MedicineImage processingReview Articlelcsh:TechnologyGeneral Biochemistry Genetics and Molecular BiologyDomain (software engineering)Image (mathematics)Pattern Recognition AutomatedDigital image processingImage Interpretation Computer-AssistedImage Processing Computer-AssistedComputer visionlcsh:ScienceGeneral Environmental Sciencebusiness.industrylcsh:Tlcsh:RGeneral MedicineBenchmark (computing)Partial derivativelcsh:QArtificial intelligencebusinessAlgorithmsTexture synthesisThe Scientific World Journal
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Change-driven Image Architecture on FPGA with adaptive threshold for Optical-Flow Computation

2006

Optical flow computation has been extensively used for object motion estimation in image sequences. However, the results obtained by most optical flow techniques are as accurate as computationally intensive due to the large amount of data involved. A new strategy for image sequence processing has been developed; pixels of the image sequence that significantly change fire the execution of the operations related to the image processing algorithm. The data reduction achieved with this strategy allows a significant optical flow computation speed-up. Furthermore, FPGAs allow the implementation of a custom data-flow architecture specially suited for this strategy. The foundations of the change-dr…

Computer sciencebusiness.industryBinary imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOptical flowImage processingImage segmentationMotion estimationDigital image processingComputer visionArtificial intelligencebusinessImage gradientComputer hardwareFeature detection (computer vision)2006 IEEE International Conference on Reconfigurable Computing and FPGA's (ReConFig 2006)
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Perceptual Image Representations for Support Vector Machine Image Coding

2007

Support-vector-machine image coding relies on the ability of SVMs for function approximation. The size and the profile of the e-insensitivity zone of the support vector regressor (SVR) at some specific image representation determines (a) the amount of selected support vectors (the compression ratio), and (b) the nature of the introduced error (the compression distortion). However, the selection of an appropriate image representation is a key issue for a meaningful design of the e-insensitivity profile. For example, in image-coding applications, taking human perception into account is of paramount relevance to obtain a good rate-distortion performance. However, depending on the accuracy of t…

Computer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionImage processingPermissionImage (mathematics)Support vector machineAutomatic image annotationDigital image processingComputer visionArtificial intelligenceImage warpingbusinessFeature detection (computer vision)
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BioImageXD - Free Microscopy Image Processing Software

2008

Extended abstract of a paper presented at Microscopy and Microanalysis 2008 in Albuquerque, New Mexico, USA, August 3 – August 7, 2008

Computer sciencebusiness.industryDigital image processingMicroscopyComputer visionImage processingImage processing softwareArtificial intelligencebusinessInstrumentationMicroscope image processingMicroscopy and Microanalysis
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Calibration of a three-dimensional reconstruction system using a structured light source

2002

We present a method for calibrating a range finder system composed of a camera and a structured light source. The system is used to reconstruct the three-dimensional (3-D) surface of an object. This is achieved by projecting a pattern, represented by a set of regularly spaced spots, on the surface of the object using the structured light source. An image of the illuminated object is next taken and by analyzing the distortion of the projected pattern, the 3-D surface of the object can be reconstructed. This reconstruction operation can be envisaged only if the system is calibrated. Instead of using a classical calibration method, which is based on the determination of the matrices that chara…

Computer sciencebusiness.industryDistortion (optics)General EngineeringImage processingImage segmentationObject (computer science)Translation (geometry)Atomic and Molecular Physics and OpticsPosition (vector)DistortionComputer graphics (images)Digital image processingComputer visionArtificial intelligencebusinessStructured lightOptical Engineering
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Improved locally adaptive least-squares detection of differences in images

2007

We introduce a method for change detection under nonuniform changes of intensity using an improved least-squares method. A locally adaptive normalizing window is correlated with the two images, and a morphological postprocessing is then applied to isolate objects that have been added or removed from the scene. We use a modification of the least-squares solution to get rid of clutter caused by intensity changes that do not satisfy the model assumed for the least-squares solution.

Computer sciencebusiness.industryMachine visionImage processingPattern recognitionLeast squaresAtomic and Molecular Physics and OpticsOpticsDigital image processingPattern recognition (psychology)ClutterArtificial intelligencebusinessIntensity (heat transfer)Change detectionOptics Letters
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Detection of power line insulators on digital images with the use of laser spots

2019

The massive growth of technologies used to register and process digital images allow for their application in evaluating the technical condition of power lines. However, it is not possible without a set of dedicated methods for obtaining diagnostic information based on registered video data. The method described here details the detection of power line insulators in digital images featuring diversified backgrounds using laser spots. The algorithm of detecting an insulator in analysed images is based on testing the digital signal of pixel intensity profiles read between subsequent pairs of laser points in the image. The method is comprised of the following stages: import the image with laser…

Contextual image classificationComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage registration020206 networking & telecommunications02 engineering and technologyLaserObject detectionlaw.inventionMaxima and minimaDigital imageElectric power transmissionlawSignal ProcessingDigital image processing0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionComputer Vision and Pattern RecognitionArtificial intelligenceElectrical and Electronic EngineeringbusinessSoftwareIET Image Processing
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Synthesizing on a reconfigurable chip an autonomous robot image processing system

2003

This paper deals with the implementation, in a high density reconfigurable device, of an entire log-polar image processing system. The log-polar vision reduces the amount of data to be stored and processed, simplifying several vision algorithms and making it possible the implementation of a complete processing system on a single chip. This image processing system is specially appropriated for autonomous robotic navigation, since these platforms have typically power consumption, size and weight restrictions. Furthermore, the image processing algorithms involved are time consuming and many times they have also real-time restrictions. A reconfigurable approach on a single chip combines hardwar…

Cycles per instructionComputer sciencebusiness.industryEmbedded systemDigital image processingControl reconfigurationSystem on a chipImage processingAutonomous robotChipbusinessPipeline (software)
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