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Fundamentals of Digital Image Processing

the subject. Includes a comprehensive chapter on stochastic models for digital image processing.Covers aspects of image representation;

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Advances in Multimedia Information Processing -- PCM 2015

; multimedia applications and services; video coding and processing; multimedia representation learning; visual understanding and recognition on big;

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Advances in Multimedia Information Processing -- PCM 2015

; multimedia applications and services; video coding and processing; multimedia representation learning; visual understanding and recognition on big;

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New Approaches for Multidimensional Signal Processing

-dimensional multicomponent image processing, multidimensional image representation and super-resolution, 3D image processing and reconstruction, MD;

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Image Representation and Processing

Recently, much attention has been paid to image processing with multi-resolution and hierarchical structures such as pyramids and trees;

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Image Analysis and Processing -- ICIAP 2011

following topics: image analysis and representation; image segmentation; pattern analysis and classification; forensics, security and document;

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Digital Image Processing: A Signal Processing and Algorithmic Approach

representation and classification, Compression, and Color processing.;

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Computer Vision and Image Processing

Directed at third-year undergraduates and postgraduates this challenging text offers a complete and up-to-date introduction to computer;

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Digital Image Processing

representation and classification, Compression, and Color processing.;

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Introduction to Digital Image Processing

discussions of image and video compression. Covers the mathematical representation of continuous images and discrete images Discusses;

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Image and Signal Processing

multispectral colour science, color imaging and applications, digital cultural heritage, document image analysis, graph-based representations, image;

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Parallel Image Processing

Presents essays on such topics as three-dimensional object representation by array grammars, stochastic puzzle grammars, parallel;

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One- and Multidimensional Signal Processing

frequency, spatio--temporal signal processing and the spectral representation of motion and tracking of moving objects aeo Features examples;

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Analysis of Variance in Statistical Image Processing

begins by describing the statistical representation of images in the various ANOVA models. A number of computationally efficient algorithms and;

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Analysis of Variance in Statistical Image Processing

begins by describing the statistical representation of images in the various ANOVA models. A number of computationally efficient algorithms and;

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Signal and Image Processing for Remote Sensing

sparse representation, as well as new component analysis methods such as non-negative matrix and tensor factorization. The book also presents new;

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A Concise Introduction to Image Processing using C++

fractal image compression and wavelet compression. It begins with coverage of representation, and then moves on to communications and processing;

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Introduction to Video and Image Processing

processing systems, and to conversion between the RGB color representation and the HIS, HSV and YUV/YCbCr color representations.;

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Combinatorial Image Analysis

submissions. The topics covered include discrete geometry and topology in imaging science, new results in image representation, segmentation, grouping;

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Image Analysis and Recognition

; shape representation; 3D imaging; applications; biometrics and face recognition; human activity recognition; biomedical image analysis; retinal;

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Image Analysis and Recognition

; shape representation; 3D imaging; applications; biometrics and face recognition; human activity recognition; biomedical image analysis; retinal;

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Multiscale Signal Analysis and Modeling

, feature extraction and classification, signal and image representation/transmission, coding, nonparametric statistical signal processing, and;

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Emerging Trends in Image Processing, Computer Vision and Pattern Recognition

spanning from fundamental mathematical theory and sampling, to image representation and reconstruction, filtering in spatial and frequency domain;

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Fuzzy Image Processing and Applications with MATLAB

In contrast to classical image analysis methods that employ crisp mathematics, fuzzy set techniques provide an elegant foundation and a;

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Pattern Recognition and Image Analysis

organized in topical sections named: Part I: best ranked papers; machine learning; pattern recognition; image processing and representation;

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Pattern Recognition and Image Analysis

organized in topical sections named: Part I: best ranked papers; machine learning; pattern recognition; image processing and representation;

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Combinatorial Maps

representation of subdivided geometric objects and describes operations for handling the structures. The book also illustrates results of the design;

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