The topic of this book is data compression, that is, representing data in the most compact way. This book first explains five types of data compression algorithms, namely variable length coding, statistical compression, dictionary coding, context model and multi-context model, and then introduces Shannon's information theory and how to break through entropy through various methods, such as statistical coding, adaptive statistical coding, dictionary conversion, context data conversion, data modeling, etc. This book also discusses some key points in data compression, such as multimedia data compression and general compression, and introduces lossy data compression. The book concludes by explaining how data compression is relevant to you, your company, and future technologies.
Reader comments
This book looks so professional! But I think it is a very valuable read for people like me who are interested in data compression. It not only introduces various data compression algorithms but also discusses real-life applications of data compression. Just like I did with compressing photos and videos, if I learned this knowledge earlier, I would be better able to preserve those beautiful memories. Moreover, this book is written by an authoritative expert, so the content is definitely reliable! I plan to recommend it to my technical friend, maybe it will be helpful to his work.
This book looks so professional! But I think it is a very valuable read for people like me who are interested in data compression. It not only introduces various data compression algorithms but also discusses real-life applications of data compression. Just like I did with compressing photos and videos, if I learned this knowledge earlier, I would be better able to preserve those beautiful memories. Moreover, this book is written by an authoritative expert, so the content is definitely reliable! I plan to recommend it to my technical friend, maybe it will be helpful to his work.