Chapman and Hall/CRC
236 pages | 89 B/W Illus.
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® 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.
"… a real tour of the field of multimedia compression, for both 2D and 3D images. … While the authors are aiming to target 'students' with their text, it is important to note that this term is meant generically to include anyone interested in the field, from an undergraduate to a graduate (or even a postgraduate), from someone in academia to a researcher in the field. This requires a delicate balance between the theoretical and the practical, from the introductory level to the advanced. Reading the text, the reader will see that the authors have been able to walk this delicate tightrope. They accomplish this by including summaries, questions for thought, meaningful illustrations, chapter bibliographies for further reading, and perhaps most importantly, the inclusion of actual MATLAB code for practical implementation. … The authors should be congratulated for this comprehensive yet accessible text."
—Minette Carl and Robert Goldberg, Queens College, Flushing, New York, USA, from Computing Reviews, August 7, 2015
Chapter 1 Introduction to image compression
Chapter 2 Lossless image compression
Chapter 3 Image Transforms
Chapter 4 Wavelet Based Image Compression
Chapter 5 Image Compression Using Vector Quantization
Chapter 6 Digital Video Compression
Chapter 7 Image Quality Assessment
Chapter 8 Compressive Sensing