Image and video signals require large transmission bandwidth and
storage, leading to high costs. The data must be compressed with-
out a loss or with a small loss of quality. Thus, efcient image and
video compression algorithms play a signicant role in the storage
and transmission of data.
Image and Video Compression: Fundamentals, Techniques, and
Applications explains the major techniques for image and video
compression and demonstrates their practical implementation using
programs. Designed for students, researchers, and prac-
ticing engineers, the book presents both basic principles and real
practical applications.
In an accessible way, the book covers basic schemes for image
and video compression, including lossless techniques and wave-
let- and vector quantization-based image compression and digital
video compression. The MATLAB programs enable readers to gain
hands-on experience with the techniques. The authors provide qual-
ity metrics used to evaluate the performance of the compression al-
gorithms. They also introduce the modern technique of compressed
sensing, which retains the most important part of the signal while it
is being sensed.
Presents the basic concepts and technologies in a student-
friendly manner
Describes the image transform, which is the backbone of any
compression technique
Explores the applications of lossless and lossy compression
Covers important image and video compression standards
Discusses commonly used quality metrics to evaluate
compression techniques
Explains the basics of simultaneous compression and sensing
Computer Science & Engineering
Joshi, Raval, Dandawate,
Joshi, and Metkar
K22577_cover.indd 1 10/8/14 11:14 AM

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