Image and Video Compression: Fundamentals, Techniques, and Applications (Hardcover)

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.

圖像和視頻信號需要大量的傳輸頻寬和存儲空間，這導致成本高昂。必須對數據進行壓縮，以達到無損或低損壓縮的質量。因此，高效的圖像和視頻壓縮算法在數據的存儲和傳輸中起著重要作用。

《圖像和視頻壓縮：基礎、技術和應用》解釋了圖像和視頻壓縮的主要技術，並使用MATLAB®程序演示了它們的實際實現。該書旨在為學生、研究人員和實踐工程師提供基本原理和實際應用。

該書以易於理解的方式介紹了圖像和視頻壓縮的基本方案，包括無損技術、小波和向量量化圖像壓縮以及數字視頻壓縮。MATLAB程序使讀者能夠親自體驗這些技術。作者提供了用於評估壓縮算法性能的質量指標。他們還介紹了壓縮感知的現代技術，該技術在感知信號時保留了最重要的部分。