Image and Video Compression

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

MATLAB

®

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.

Features

• 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

techniques

• Covers important image and video compression standards

• Discusses commonly used quality metrics to evaluate

compression techniques

• Explains the basics of simultaneous compression and sensing

K22577

www.crcpress.com

Computer Science & Engineering

IMAGE AND VIDEO COMPRESSION

Joshi, Raval, Dandawate,

Joshi, and Metkar

K22577_cover.indd 1 10/8/14 11:14 AM