Image Processing

PUBLISHED


Viewing: 1 - 10 of 104
Published:
April 05, 2013
Author(s):
Jayanta Mukhopadhyay; Partha Pratim Das; Samiran Chattopadhyay; Partha Bhowmick; Biswa Nath Chatterji
Exploring theories and applications developed during the last 30 years, Digital Geometry in Image Processing presents a mathematical treatment of the properties of digital metric spaces and their relevance in analyzing shapes in two and three dimensions. Unlike similar books, this one connects the 
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Published:
December 15, 2012
Author(s):
Fathi E. Abd El-Samie; Mohiy M. Hadhoud; Said E. El-Khamy
This book is devoted to the issue of image super-resolution—obtaining high-resolution images from single or multiple low-resolution images. Although there are numerous algorithms available for image interpolation and super-resolution, there’s been a need for a book that establishes a common thread 
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Published:
December 14, 2012
Editor(s):
Vasudevan Lakshminarayanan; María L. Calvo; Tatiana Alieva
Going beyond standard introductory texts, Mathematical Optics: Classical, Quantum, and Computational Methods brings together many new mathematical techniques from optical science and engineering research. Profusely illustrated, the book makes the material accessible to students and newcomers to the 
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Published:
November 26, 2012
Author(s):
Leonid P. Yaroslavsky
With the ubiquitous use of digital imaging, a new profession has emerged: imaging engineering. Designed for newcomers to imaging science and engineering, Theoretical Foundations of Digital Imaging Using MATLAB® treats the theory of digital imaging as a specific branch of science. It covers the 
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Published:
October 29, 2012
Editor(s):
Rastislav Lukac
Visual perception is a complex process requiring interaction between the receptors in the eye that sense the stimulus and the neural system and the brain that are responsible for communicating and interpreting the sensed visual information. This process involves several physical, neural, and 
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Published:
October 15, 2012
Author(s):
Artyom M. Grigoryan; Merughan M. Grigoryan
Focusing on mathematical methods in computer tomography, Image Processing: Tensor Transform and Discrete Tomography with MATLAB® introduces novel approaches to help in solving the problem of image reconstruction on the Cartesian lattice. Specifically, it discusses methods of image processing along 
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Published:
September 11, 2012
Editor(s):
Bahadir Kursat Gunturk; Xin Li
Image Restoration: Fundamentals and Advances responds to the need to update most existing references on the subject, many of which were published decades ago. Providing a broad overview of image restoration, this book explores breakthroughs in related algorithm development and their role in 
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Published:
July 03, 2012
Editor(s):
Olivier Lezoray; Leo Grady
Covering the theoretical aspects of image processing and analysis through the use of graphs in the representation and analysis of objects, Image Processing and Analysis with Graphs: Theory and Practice also demonstrates how these concepts are indispensible for the design of cutting-edge solutions 
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Published:
June 05, 2012
Author(s):
F. Brent Neal; John C. Russ
"John Russ is the master of explaining how image processing gets applied to real-world situations. With Brent Neal, he’s done it again in Measuring Shape, this time explaining an expanded toolbox of techniques that includes useful, state-of-the-art methods that can be applied to the broad problem 
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Published:
March 01, 2012
Editor(s):
Ling Guan; Yifeng He; Sun-Yuan Kung
As multimedia applications have become part of contemporary daily life, numerous paradigm-shifting technologies in multimedia processing have emerged over the last decade. Substantially updated with 21 new chapters, Multimedia Image and Video Processing, Second Edition explores the most recent 
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