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Fundamentals of Image, Audio, and Video Processing Using MATLAB (R)
introduces the concepts and principles of media processing and its
applications in pattern recognition by adopting a hands-on approach
using program implementations. The book covers the tools and
techniques for reading, modifying, and writing image, audio, and
video files using the data analysis and visualization tool MATLAB
(R). Key Features: Covers fundamental concepts of image, audio, and
video processing Demonstrates the use of MATLAB (R) on solving
problems on media processing Discusses important features of Image
Processing Toolbox, Audio System Toolbox, and Computer Vision
Toolbox MATLAB (R) codes are provided as answers to specific
problems Illustrates the use of Simulink for audio and video
processing Handles processing techniques in both the
Spatio-Temporal domain and Frequency domain This is a perfect
companion for graduate and post-graduate students studying courses
on image processing, speech and language processing, signal
processing, video object detection and tracking, and related
multimedia technologies, with a focus on practical implementations
using programming constructs and skill developments. It will also
appeal to researchers in the field of pattern recognition, computer
vision and content-based retrieval, and for students of MATLAB (R)
courses dealing with media processing, statistical analysis, and
data visualization. Dr. Ranjan Parekh, PhD (Engineering), is
Professor at the School of Education Technology, Jadavpur
University, Calcutta, India, and is involved with teaching subjects
related to Graphics and Multimedia at the post-graduate level. His
research interest includes multimedia information processing,
pattern recognition, and computer vision.
This discounted two-book set contains BOTH: Fundamentals of Image,
Audio, and Video Processing Using MATLAB (R) introduces the
concepts and principles of media processing and its applications in
pattern recognition by adopting a hands-on approach using program
implementations. The book covers the tools and techniques for
reading, modifying, and writing image, audio, and video files using
the data analysis and visualization tool MATLAB (R). This is a
perfect companion for graduate and post-graduate students studying
courses on image processing, speech and language processing, signal
processing, video object detection and tracking, and related
multimedia technologies, with a focus on practical implementations
using programming constructs and skill developments. It will also
appeal to researchers in the field of pattern recognition, computer
vision and content-based retrieval, and for students of MATLAB (R)
courses dealing with media processing, statistical analysis, and
data visualization. Fundamentals of Graphics Using MATLAB (R)
introduces fundamental concepts and principles of 2D and 3D
graphics and is written for undergraduate and postgraduate students
of computer science, graphics, multimedia, and data science. It
demonstrates the use of MATLAB (R) programming for solving problems
related to graphics and discusses a variety of visualization tools
to generate graphs and plots. The book covers important concepts
like transformation, projection, surface generation, parametric
representation, curve fitting, interpolation, vector
representation, and texture mapping, all of which can be used in a
wide variety of educational and research fields. Theoretical
concepts are illustrated using a large number of practical examples
and programming codes, which can be used to visualize and verify
the results.
This book introduces fundamental concepts and principles of 2D and
3D graphics and is written for undergraduate and postgraduate
students of computer science, graphics, multimedia, and data
science. It demonstrates the use of MATLAB (R) programming for
solving problems related to graphics and discusses a variety of
visualization tools to generate graphs and plots. The book covers
important concepts like transformation, projection, surface
generation, parametric representation, curve fitting,
interpolation, vector representation, and texture mapping, all of
which can be used in a wide variety of educational and research
fields. Theoretical concepts are illustrated using a large number
of practical examples and programming codes, which can be used to
visualize and verify the results. Key Features: Covers fundamental
concepts and principles of 2D and 3D graphics Demonstrates the use
of MATLAB (R) programming for solving problems on graphics Provides
MATLAB (R) codes as answers to specific numerical problems Provides
codes in a simple copy and execute format for the novice learner
Focuses on learning through visual representation with extensive
use of graphs and plots Helps the reader gain in-depth knowledge
about the subject matter through practical examples Contains review
questions and practice problems with answers for self-evaluation
Fundamentals of Image, Audio, and Video Processing Using MATLAB (R)
introduces the concepts and principles of media processing and its
applications in pattern recognition by adopting a hands-on approach
using program implementations. The book covers the tools and
techniques for reading, modifying, and writing image, audio, and
video files using the data analysis and visualization tool MATLAB
(R). Key Features: Covers fundamental concepts of image, audio, and
video processing Demonstrates the use of MATLAB (R) on solving
problems on media processing Discusses important features of Image
Processing Toolbox, Audio System Toolbox, and Computer Vision
Toolbox MATLAB (R) codes are provided as answers to specific
problems Illustrates the use of Simulink for audio and video
processing Handles processing techniques in both the
Spatio-Temporal domain and Frequency domain This is a perfect
companion for graduate and post-graduate students studying courses
on image processing, speech and language processing, signal
processing, video object detection and tracking, and related
multimedia technologies, with a focus on practical implementations
using programming constructs and skill developments. It will also
appeal to researchers in the field of pattern recognition, computer
vision and content-based retrieval, and for students of MATLAB (R)
courses dealing with media processing, statistical analysis, and
data visualization. Dr. Ranjan Parekh, PhD (Engineering), is
Professor at the School of Education Technology, Jadavpur
University, Calcutta, India, and is involved with teaching subjects
related to Graphics and Multimedia at the post-graduate level. His
research interest includes multimedia information processing,
pattern recognition, and computer vision.
This book introduces fundamental concepts and principles of 2D and
3D graphics and is written for undergraduate and postgraduate
students of computer science, graphics, multimedia, and data
science. It demonstrates the use of MATLAB (R) programming for
solving problems related to graphics and discusses a variety of
visualization tools to generate graphs and plots. The book covers
important concepts like transformation, projection, surface
generation, parametric representation, curve fitting,
interpolation, vector representation, and texture mapping, all of
which can be used in a wide variety of educational and research
fields. Theoretical concepts are illustrated using a large number
of practical examples and programming codes, which can be used to
visualize and verify the results. Key Features: Covers fundamental
concepts and principles of 2D and 3D graphics Demonstrates the use
of MATLAB (R) programming for solving problems on graphics Provides
MATLAB (R) codes as answers to specific numerical problems Provides
codes in a simple copy and execute format for the novice learner
Focuses on learning through visual representation with extensive
use of graphs and plots Helps the reader gain in-depth knowledge
about the subject matter through practical examples Contains review
questions and practice problems with answers for self-evaluation
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