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Mathematical Foundations of Image Processing and Analysis, Volume 2

Mathematical Imaging is currently a rapidly growing field in applied mathematics, with an increasing need for theoretical mathematics;

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Mathematical Morphology in Image Processing

graduate-level students in image processing and mathematical morphology courses.;

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Digital Signal and Image Processing

presenting key concepts and providing the mathematical foundations and advanced algorithms that are essential to the design of any signal processing;

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Introduction to Digital Image Processing

in mathematical background earlier in their college education. With that in mind, Introduction to Digital Image Processing is simpler in terms;

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Fundamentals of Digital Image Processing

Presents a thorough overview of the major topics of digital image processing, beginning with the basic mathematical tools needed for;

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Digital Image Processing

and mathematical aspects are discussed at a fundamental level and various practical examples and exercises supplement the text. The book uses;

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The Art of Image Processing with Java

demonstrate the results of performing processing on well-known art pieces, the text builds an accessible mathematical foundation and includes;

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Image Processing & Communications Challenges 3

approaches, in: image processing and computer vision; telecommunications networks, Web-based information systems; mathematical methods for these;

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Nonlinear Model-Based Image/Video Processing And Analysis

, mathematical morphology techniques, and adaptive order statistic filtering receive detailed treatment as they apply to specific uses such as image;

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Digital Image Processing Handbook

processing algorithms in various fields. The book presents graphical representations and illustrative examples in addition to mathematical algorithms;

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Novel Diffusion-Based Models for Image Restoration and Interpolation

suited for professionals in both the mathematics and electrical engineering domains, as it provides rigorous mathematical investigations of the;

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Novel Diffusion-Based Models for Image Restoration and Interpolation

suited for professionals in both the mathematics and electrical engineering domains, as it provides rigorous mathematical investigations of the;

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Nonlinear Filters For Image Processing

"This text covers key mathematical principles and algorithms for nonlinear filters used in image processing. Readers will gain an in-depth;

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Signal and Image Processing for Remote Sensing

experts, this book continues to emphasize mathematical approaches. Not limited to satellite data, it also considers signals and images from;

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Wavelet Analysis with Applications to Image Processing

diverse problems. However, students and professionals in some areas of engineering and science, intimidated by the mathematical background;

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Introduction to Image Processing and Analysis

Windows and MacOS programming environments. The provided mathematical background illustrates the workings of algorithms and emphasizes the;

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Mathematical Problems in Image Processing

discretize them. For the mathematical community, the book shows the contribution of mathematics to this domain, and highlights unsolved theoretical;

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Image Processing And Jump Regression Analysis

-preserving image restoration, to name a few. With mathematical proofs kept to a minimum, this book is uniquely accessible as a primary text;

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A Beginner's Guide to Image Preprocessing Techniques

data pre-processing for neural networks and deep learning Covers geometric, pixel brightness, filtering, mathematical;

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Signal and Image Processing for Remote Sensing

experts, this book continues to emphasize mathematical approaches. Not limited to satellite data, it also considers signals and images from;

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The Image Processing Handbook

methods with mathematical presentation and spatial domain processing. The CD-ROM contains images and Photoshop-compatible plug-ins that implement;

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Mathematical Methods in Image Processing and Inverse Problems

methods and techniques were discussed. The state-of-the-art developments on mathematical analysis, advanced modeling, efficient algorithm and;

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Algorithms For Image Processing And Computer Vision

searches, details on modern classifier methods, and graphics cards used as image processing computational aids * Saves hours of mathematical;

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Handbook of Convex Optimization Methods in Imaging Science

mathematical methods and foundations required, and covers topics in image quality optimization and assessment. The second part of the book discusses;

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Applied Multidimensional Systems Theory

of students. Multidimensional systems or m-D systems are the necessary mathematical background for modern digital image processing with applications;

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Practical Image and Video Processing Using MATLAB

accurate, objective way, with just enough mathematical detail. Most of the chapters are supported by figures, examples, illustrative problems;

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Quaternion Fourier Transforms for Signal and Image Processing

attention to mathematical concepts, imaging applications, and Matlab compatibility render it an irreplaceable resource for students, scientists;

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