xi
Preface
This book is intended primarily for courses on image compression tech-
niques for undergraduate through postgraduate students, research scholars,
and engineers working in the eld. It presents the basic concepts and tech-
nologies in a student-friendly manner. The major techniques in image com-
pression are explained with informative illustrations, and the concepts are
developed from the basics. Practical implementation is demonstrated with
MATLAB
®
programs.
While teaching and contributing to research in the eld, the authors felt
the need for a book that provides a strong foundation and presents practical
applications. Encouraged by our teaching and research experience and our
interaction with the industry, we decided to embark upon this venture to
provide students and researchers with a book that not only enables learning
from the basic principles but can also be applied in real practical applications.
The Internet has become an effective and important medium in applications
including entertainment, business, research, and education. The amount of
data generated is in the thousands of trillions of bytes. For efcient storage of
data on devices, mediums and transmission over a network, the data need to
be compressed. Presently, signicant costs are also involved with data stor-
age. For these reasons, we have always been motivated toward the develop-
ment of techniques for data compression. The authors have worked in the
eld for many years and have contributed to research in the eld. When con-
tacted to take up the project of writing a book on image compression tech-
niques as a joint effort, the authors agreed to write chapters pertaining to
their areas of expertise. This book covers all of the techniques used for image
and video compression in a lucid manner along with MATLAB programs
that students can use and understand practically. In order to evaluate the
performance of the compression algorithms, quality analysis is performed.
The quality metrics used are presented in a separate chapter. We have also
introduced a chapter on compressed sensing, which is a modern technique
for retaining the most important part of the signal during its acquisition. The
chapter coverage is as follows.
Chapter 1 introduces the need to compress images and videos; the lossless
and lossy taxonomies; along with advantages, disadvantages, and applica-
tion areas of compression.
Chapter 2 deals with lossless compression techniques that retain the entire
image information while compressing it. Even though these techniques have
less compression ratios, they are still used in the last stage of lossy com-
pression techniques, as well as in hybrid techniques. They are also used in
the compression of medical images. The techniques of Huffman, arithmetic,

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