| 書目名稱 | Reversible Steganography and Authentication via Transform Encoding |
| 編輯 | Jyotsna Kumar Mandal |
| 視頻video | http://file.papertrans.cn/830/829429/829429.mp4 |
| 概述 | Covers various aspects of steganography and authentication in a range of domains.Presents discussions substantiated by examples.Includes comparative analyses of performances |
| 叢書名稱 | Studies in Computational Intelligence |
| 圖書封面 |  |
| 描述 | This book focuses on reversible steganography and authentication via transform encoding, fully discussing in detail the reversibility computation of six transformation techniques: DFT, DCT, wavelets, Z, binomial and grouplet, as well as chaos-based authentication. The book also describes algorithmic approaches based on all transformations along with implementation details and results. Further topics include embedding and extraction into the spatial domain, tuning using GA-based approaches and embedding into imaginary coefficients of the Z domain..?.Featuring detailed algorithms for encryption and descriptions of all techniques, including embedding techniques for all transform-based steganographic processes, the book also explores the adjustment of pixel values after embedding and presents numerical examples of reversible computations. In the context of chaos-based authentication, it also describes testing the quality of generator is using Monobit, Serial and Poker tests. The book then outlines 15 test cases recommended by NIST fifteen test cases, along with their implementation on six evolutionary algorithms for neural cryptographic systems in the context of wireless computations – |
| 出版日期 | Book 2020 |
| 關(guān)鍵詞 | Reversible Steganography and Authentication; Image Processing; Transform Encoding; DFT Based Reversible |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-15-4397-5 |
| isbn_softcover | 978-981-15-4399-9 |
| isbn_ebook | 978-981-15-4397-5Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer Nature Singapore Pte Ltd. 2020 |
|Archiver|手機(jī)版|小黑屋|
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