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Mathematics of Digital Images: Creation, Compression, Restoration, Recognition
Mathematics of Digital Images: Creation, Compression, Restoration, Recognition
"Recognition explains the mathematics needed to carry out various aspects of digital imaging through examples, exercises with solutions, pseudocode and sample calculations on images. Suitable for a course or tutorial."
Spectra

"This book explains the mathematics needed to understand and carry out these components in
...
Image Processing: Principles and Applications
Image Processing: Principles and Applications
Image processing—from basics to advanced applications

Learn how to master image processing and compression with this outstanding state-of-the-art reference. From fundamentals to sophisticated applications, Image Processing: Principles and Applications covers multiple topics and provides a fresh perspective on future directions and...

Medical Image Processing, Reconstruction and Restoration: Concepts and Methods
Medical Image Processing, Reconstruction and Restoration: Concepts and Methods

Medical imaging is specific in that it concerns internal structures of organisms that are inaccessible to common imaging methods and that the imaging results are observed, evaluated, and classified mostly by non-technical staff. Development of new image processing methods and the interpretation of complicated or unexpected results require deep...

Digital Signal Processing for Medical Imaging Using Matlab
Digital Signal Processing for Medical Imaging Using Matlab

This book describes medical imaging systems, such as X-ray, Computed tomography, MRI, etc. from the point of view of digital signal processing. Readers will see techniques applied to medical imaging such as Radon transformation, image reconstruction, image rendering, image enhancement and restoration, and more.

This book also...

Image Processing and Jump Regression Analysis (Wiley Series in Probability and Statistics)
Image Processing and Jump Regression Analysis (Wiley Series in Probability and Statistics)
The first text to bridge the gap between image processing and jump regression analysis

Recent statistical tools developed to estimate jump curves and surfaces have broad applications, specifically in the area of image processing. Often, significant differences in technical terminologies make communication between the disciplines of image...

Markov Random Fields for Vision and Image Processing (MIT Press)
Markov Random Fields for Vision and Image Processing (MIT Press)

This volume demonstrates the power of the Markov random field (MRF) in vision, treating the MRF both as a tool for modeling image data and, utilizing recently developed algorithms, as a means of making inferences about images. These inferences concern underlying image and scene structure as well as solutions to such problems as image...

SANs Demystified
SANs Demystified
The rapid rise of e-commerce, data-heavy websites, and globalization has increased the demand for data storage space--and Storage Area Networks (SANs) are the best way to solve the problem. This resource "demystifies" SAN technology and functions, showing how to manage, configure, and build your own SAN for a wide variety of...
Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing
Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing

This textbook introduces sparse and redundant representations with a focus on applications in signal and image processing. The theoretical and numerical foundations are tackled before the applications are discussed. Mathematical modeling for signal sources is discussed along with how to use the proper model for tasks such as denoising,...

Multi-Sensor Image Fusion and Its Applications (Signal Processing and Communica)
Multi-Sensor Image Fusion and Its Applications (Signal Processing and Communica)
Imaging sensors are an important resource in today’s world. Further, a single sensor cannot provide a complete view of the environment in many applications. Just as humans use all five senses to great advantage, computers use image fusion algorithms to gain similar advantages. The resulting fused image, if suitably obtained from a set of...
Blind Image Deconvolution: Theory and Applications
Blind Image Deconvolution: Theory and Applications
Blind image deconvolution is constantly receiving increasing attention from the academic as well the industrial world due to both its theoretical and practical implications. The field of blind image deconvolution has several applications in different areas such as image restoration, microscopy, medical imaging, biological imaging, remote sensing,...
Color Image Processing: Methods and Applications
Color Image Processing: Methods and Applications
Over the last two decades, we have witnessed an explosive growth in both the diversity of techniques and the range of applications of image processing. However, the area of color image processing is still sporadically covered, despite having become commonplace, with consumers choosing the convenience of color imaging over traditional grayscale...
Digital Image Processing: PIKS Scientific Inside
Digital Image Processing: PIKS Scientific Inside

A newly updated and revised edition of the classic introduction to digital image processing

The Fourth Edition of Digital Image Processing provides a complete introduction to the field and includes new information that updates the state of the art. The text offers coverage of new topics and...

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