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A Social Tagging Recommendation Model Based on Improved Artificial Fish Swarm Algorithm and Tensor Decomposition Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Reversible Image Steganography for Color Image Quantization Based on Lossless Index Coding

Authors : Yu-Chen Hu, Chin-Feng Lee, Yi-Hung Liu

Published in: Security with Intelligent Computing and Big-data Services

Publisher: Springer International Publishing

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Abstract

In this paper, we proposed a joint lossless index coding and data hiding technique for the palette images. The palette image is the compressed image of the color image quantization technique. The compressed codes of the palette image consist of the index table and the color palette. In the proposed technique, a three-category lossless index coding method is employed. The secret data is embedded into the encoded index table during the index coding process is executed. From the results, it is shown that good hiding capacity is obtained in the proposed technique while keeping a good bit rate.

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Metadata
Title
Reversible Image Steganography for Color Image Quantization Based on Lossless Index Coding
Authors
Yu-Chen Hu
Chin-Feng Lee
Yi-Hung Liu
Copyright Year
2018
Book
Security with Intelligent Computing and Big-data Services

Print ISBN: 978-3-319-76450-4

Electronic ISBN: 978-3-319-76451-1

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-76451-1_18

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