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Lossless Information Hiding in Images

The first book to focus on lossless information hiding for images, presenting many state-of-the-art lossless hiding schemes

Zhe-Ming Lu (Author), Shi-Ze Guo (Author)

9780128120064, Elsevier Science

Paperback, published 11 November 2016

432 pages
23.5 x 19 x 2.7 cm, 0.91 kg

Lossless Information Hiding in Images introduces many state-of-the-art lossless hiding schemes, most of which come from the authors' publications in the past five years. After reading this book, readers will be able to immediately grasp the status, the typical algorithms, and the trend of the field of lossless information hiding.

Lossless information hiding is a technique that enables images to be authenticated and then restored to their original forms by removing the watermark and replacing overridden images. This book focuses on the lossless information hiding in our most popular media, images, classifying them in three categories, i.e., spatial domain based, transform domain based, and compressed domain based. Furthermore, the compressed domain based methods are classified into VQ based, BTC based, and JPEG/JPEG2000 based.

Chapter 1. Introduction

Chapter 2. Lossless Information Hiding in Images on the Spatial Domain

Chapter 3. Lossless Information Hiding in Images on Transform Domains

Chapter 4. Lossless Information Hiding in Vector Quantization Compressed Images

Chapter 5. Lossless Information Hiding in Block Truncation Coding–Compressed Images

Chapter 6. Lossless Information Hiding in JPEG- and JPEG2000-Compressed Images

Subject Areas: Image processing [UYT], Privacy & data protection [URD]

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