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Image and Video Compression: Fundamentals, Techniques, and Applications by Kalyani R. Joshi, Mehul S. Raval, Yogesh H. Dandawate, Shilpa P. Metkar, Madhuri A. Joshi (Hardcover, 2014)

Image and video signals require large transmission bandwidth and storage, leading to high costs. The data must be compressed without a loss or with a small loss of quality. Thus, efficient image and video compression algorithms play a significant 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 (R) programs. Designed for students, researchers, and practicing 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 wavelet- 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 quality metrics used to evaluate the performance of the compression algorithms. They also introduce the modern technique of compressed sensing, which retains the most important part of the signal while it is being sensed.

Author
Kalyani R. Joshi, Mehul S. Raval, Yogesh H. Dandawate, Shilpa P. Metkar, Madhuri A. Joshi
Publication Name
Image and Video Compression: Fundamentals, Techniques, and Applications
Format
Hardcover
Language
English
Subject
Computer Science
Publication Year
2014
Type
Textbook
Number of Pages
236 Pages

Title_Author
Mehul S. Raval, Shilpa P. Metkar, Madhuri A. Joshi, Yogesh H. Dandawate, Kalyani R. Joshi
Country/Region of Manufacture
Canada

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