This book is designed for students, professionals and researchers in the
field of multimedia and related fields with a need to learn the basics
of multimedia systems and signal processing. Emphasis is given to the
analysis and processing of multimedia signals (audio, images, and
video). Detailed insight into the most relevant mathematical apparatus
and transformations used in multimedia signal processing is given. A
unique relationship between different transformations is also included,
opening new perspectives for defining novel transforms in specific
applications. Special attention is dedicated to the compressive sensing
area, which has a great potential to contribute to further improvement
of modern multimedia systems. In addition to the theoretical concepts,
various standard and more recently accepted algorithms for the
reconstruction of different types of signals are considered. Additional
information and details are also provided to enable a comprehensive
analysis of audio and video compression algorithms. Finally, the book
connects these principles to other important elements of multimedia
systems, such as the analysis of optical media, digital watermarking,
and telemedicine.
New to this edition:
Introduction of the generalization concept to consolidate the
time-frequency signal analysis, wavelet transformation, and Hermite
transformation
Inclusion of prominent robust transformation theory used in the
processing of noisy multimedia data as well as
advanced multimedia data filtering approaches, including image filtering
techniques for impulse noise environment
Extended video compression algorithms
Detailed coverage of compressive sensing in multimedia applications
