handbook of image and video processing bovik pdf
MULTIMEDIA IMAGE and VIDEO PROCESSING
... One goal of MPEG-7 is to provide a stan-dardized method of describing features of multimedia data. For images and video, colors or â2001 CRC Press LLC 5.5.2 Postprocessing5.5.3 Shape and Color ... conversationalservices, Internetvideo applications, sign language andlip-reading communication, video stor-age and retrieval services (e.g., VOD), video store and forward services (e.g., video mail), and multipoint ... Adali University of Maryland, Baltimore, Maryland Horst Bunke Institute für Informatik und Angewandte Mathematik, Universität Bern,Switzerland Frank M. Candocia University of Florida, Gainesville,...
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kehtarmavaz, gamadia - real - time image and video processing - from research to reality
... sim-plifications for real-time image and video processing, Hardware platforms for real-time image and video processing, Software methods for real-time image and video processing P1: IML/FFX P2: ... developments in the field of multidimensional signal processing have all led to the creation of the field of real-time image and video processing. Here, an overview of the history of image processing is stated ... a brief overview of the other chapters.1.2 PARALLELISM IN IMAGE/ VIDEO PROCESSING OPERATIONSReal-time image and video processing systems involve processing vast amounts of image data ina timely...
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jayanta mukhopadhyay - image and video processing in the compressed domain
... theCompressedFormFigure 1.3 : Processing in the domain of alternative representation.1.3 Overview of Different Image and Video CompressionTechniques and StandardsVarious image and video compression techniques ... of video resizing, in particular video downsampling, is discussed in thenext chapter on transcoding.In chapter six, transcoding of images and videos is discussed. As most of the image and video ... than their original domains of representation, whichare spatial and spatiotemporal for images and videos, respectively. Two suchpopular representations of images and videos are formed by their...
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Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2010, Article ID doc
... YAVGis made as a product of brightnessL of the input image, Exposure (integration) Time tET of the sensor, gain G of the image processing pipeline, and aconstant K,see[9], and computed with YAVG= ... on Image and Video Processing own peculiarities, different behavior, and effect on the image. The task of the video- level control algorithm is to maintainthe correct average luminance value of ... describe twobasic methods: mixing of images and hard switching betweenimages. Figure 12(a) depicts a soft switch between long- and short-exposure images, where two images are mixed in atransition...
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Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2010, Article ID potx
... EURASIP Journal on Image and Video Processing 3(a) (b) (c)Figure 1: Examples of images from minimally invasive medical procedures showing specular highlights. (a) Laparoscope image of theappendix, ... 4 EURASIP Journal on Image and Video Processing (a) (b)Figure 3: Example of a colonoscopic image before and after median filtering.(a) (b)(c) (d)Figure 4: Illustration of the area that is used ... transition between c(x) and csm(x). Figure 5 illustrates the approach by showing therelevant images and masks. 10 EURASIP Journal on Image and Video Processing Table 3: Performance of the colour channel...
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Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2011, Article ID docx
... respect to the center of image (a); (d) rectangular axis-oriented patch on polar image; (e) transformation of the image (d) and its patch o nto the origin al image; (f) examples of rectangular patches ... detector; final detections of (g, h) bare heads and of hard hats(i, j). EURASIP Journal on Image and Video Processing 7True detections (66%)(a) (b) (c)False detections out of scale (24%)False ... unreliable.Most of the other head detectors approaches that do notrely on shapes, exploit color features (ty p ically of hair and EURASIP Journal on Image and Video Processing 3Domain-specificvideo...
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Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2011, Article ID potx
... imagescorrespond to face images and 7,000 images and their mirrorimages correspond to nonface images. Furthermore, 1, 000 and 3, 000 face and nonface images, respectively, and theirmirror images are used ... [33] and its mirror images. Ole Jensen datasetconsists of 15, 000 gray-scale images of size 24ì 24 pixels,where 5, 000 images are for frontal faces and 10,000 imagescorrespond to nonface images. ... evaluation.Therefore, the training dataset consisted of 9, 916 face images and 17,872 nonface images of 24ì 24 pixels, and samenumber, but nonoverlapping, face and nonface images areused for the evaluation...
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Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2011, Article ID pot
... still-to-still, still-to -video and video- to- video matching in real-time. Evaluation of this approach isdone for still image and video based face recognition onLFW image dataset and MOBIO video dataset. ... still images and video sequences. It can be further classified into t hree categories:still image to still image matching, video sequence to video sequence matching, and still image to video ... (4)attemptstocancelouttheeffect of varying image conditions. 14 EURASIP Journal on Image and Video Processing [60] O. Yamaguchi, K. Fukui, and K. Maeda, “Face recognitionusing temporal image sequence,” in Proceedings of...
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Tài liệu 53 Image and Video Restoration pdf
... space-varying mean and stationary covariance as a model for the pdf of the image. Geman and Geman [11] proposed a Gibbsdistribution to model thepdf ofthe image. Alternatively, if the image is assumed ... non-stationary image mean, Rf and Rnare the correlation matrices of the idealimageandnoise,respectively,andSbisadiagonalmatrixconsistingofthederivativesofs(.) evaluatedc1999 by CRC Press LLC ImageandVideoRestorationA.MuratTekalpUniversityofRochester53.1Introduction53.2ModelingIntra-FrameObservationModelãMultispectralObserva-tionModelãMultiframeObservationModelãRegularizationModels53.3ModelParameterEstimationBlurIdenticationãEstimationofRegularizationParametersãEstimationoftheNoiseVariance53.4Intra-FrameRestorationBasicRegularizedRestorationMethodsãRestorationofIm-agesRecordedbyNonlinearSensorsãRestorationofImagesDegradedbyRandomBlursãAdaptiveRestorationforRing-ingReductionãBlindRestoration(Deconvolution)ãRestora-tionofMultispectralImagesãRestorationofSpace-VaryingBlurredImages53.5MultiframeRestorationandSuperresolutionMultiframeRestorationãSuperresolutionãSuperresolutionwithSpace-VaryingRestoration53.6ConclusionReferences53.1 ... the dataand a constantsum of pixel intensities. This approach requires thesolution of a system of nonlinear equations. The number of equations and unknowns are on theorder of the number of pixels...
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