handbook of image and video processing bovik pdf

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... 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 Postprocessing 5.5.3 Shape and Color ... conversational services, 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,...

Ngày tải lên: 08/05/2014, 16:13

... 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 OPERATIONS Real-time image and video processing systems involve processing vast amounts of image data in a timely...

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... the Compressed Form Figure 1.3 : Processing in the domain of alternative representation. 1.3 Overview of Different Image and Video Compression Techniques and Standards Various image and video compression techniques ... of video resizing, in particular video downsampling, is discussed in the next 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, which are spatial and spatiotemporal for images and videos, respectively. Two such popular representations of images and videos are formed by their...

Ngày tải lên: 05/06/2014, 12:04

... Y AVG is made as a product of brightness L of the input image, Exposure (integration) Time t ET of the sensor, gain G of the image processing pipeline, and a constant K,see[9], and computed with Y AVG = ... on Image and Video Processing own peculiarities, different behavior, and effect on the image. The task of the video- level control algorithm is to maintain the correct average luminance value of ... describe two basic methods: mixing of images and hard switching between images. Figure 12(a) depicts a soft switch between long- and short-exposure images, where two images are mixed in a transition...

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... 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 the appendix, ... 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 c sm (x). Figure 5 illustrates the approach by showing the relevant images and masks. 10 EURASIP Journal on Image and Video Processing Table 3: Performance of the colour channel...

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... 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 7 True detections (66%) (a) (b) (c) False detections out of scale (24%) False ... unreliable. Most of the other head detectors approaches that do not rely on shapes, exploit color features (ty p ically of hair and EURASIP Journal on Image and Video Processing 3 Domain-specific video...

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... images correspond to face images and 7,000 images and their mirror images correspond to nonface images. Furthermore, 1, 000 and 3, 000 face and nonface images, respectively, and their mirror images are used ... [33] and its mirror images. Ole Jensen dataset consists of 15, 000 gray-scale images of size 24 ì 24 pixels, where 5, 000 images are for frontal faces and 10,000 images correspond to nonface images. ... evaluation. Therefore, the training dataset consisted of 9, 916 face images and 17,872 nonface images of 24 ì 24 pixels, and same number, but nonoverlapping, face and nonface images are used for the evaluation...

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... still-to-still, still-to -video and video- to- video matching in real-time. Evaluation of this approach is done for still image and video based face recognition on LFW 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 recognition using temporal image sequence,” in Proceedings of...

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... 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, R f and R n are the correlation matrices of the ideal imageandnoise,respectively,andS b isadiagonalmatrixconsistingofthederivativesofs(.) evaluated c  1999 by CRC Press LLC ImageandVideoRestoration A.MuratTekalp UniversityofRochester 53.1Introduction 53.2Modeling Intra-FrameObservationModel ã MultispectralObserva- tionModel ã MultiframeObservationModel ã Regularization Models 53.3ModelParameterEstimation BlurIdentication ã EstimationofRegularizationParameters ã EstimationoftheNoiseVariance 53.4Intra-FrameRestoration BasicRegularizedRestorationMethods ã RestorationofIm- agesRecordedbyNonlinearSensors ã RestorationofImages DegradedbyRandomBlurs ã AdaptiveRestorationforRing- ingReduction ã BlindRestoration(Deconvolution) ã Restora- tionofMultispectralImages ã RestorationofSpace-Varying BlurredImages 53.5MultiframeRestorationandSuperresolution MultiframeRestoration ã Superresolution ã Superresolution withSpace-VaryingRestoration 53.6Conclusion References 53.1 ... the dataand a constantsum of pixel intensities. This approach requires the solution of a system of nonlinear equations. The number of equations and unknowns are on the order of the number of pixels...

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