An improved reversible information hiding scheme based on AMBTC compressed images

Yi Puyang, Zhaoxia Yin*, Guorui Feng, Andrew K. Abel

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

This paper proposes an efficient reversible information hiding method based on AMBTC compressed images. At present, most digital images are stored and transmitted in compressed form, so research and development of such a scheme is necessary. Hong et al. proposed a reversible information hiding based approach based on AMBTC compression of images to provide considerable embedding capacity and effectively reduce the bit-rate. However, it did not carry out a detailed categorization of the error value or adopt the most suitable method for category information encoding, where error value is the difference of the original quantization value and the prediction quantization value. So there’s possibility to reduce the bit-rate. In this paper, we propose an Improved Centralized Error Division (ICED) technique to conduct a more detailed categorization of the error value. In addition, we also adopt an optimal Huffman code to encode category information, so as to further reduce the bit-rate. Our experimental results show that our proposed approach has an equal embedding capacity as Hong et al.’s method and is higher than other relevant work. In addition, the proposed scheme has a lower bit-rate than Hong et al.’s method.

Original languageEnglish
Title of host publicationCloud Computing and Security - 3rd International Conference, ICCCS 2017, Revised Selected Papers
EditorsXingming Sun, Xingang You, Han-Chieh Chao, Elisa Bertino
PublisherSpringer Verlag
Pages49-60
Number of pages12
ISBN (Print)9783319685045
DOIs
Publication statusPublished - 2017
Event3rd International Conference on Cloud Computing and Security, ICCCS 2017 - Nanjing, China
Duration: 16 Jun 201718 Jun 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10602 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Conference on Cloud Computing and Security, ICCCS 2017
Country/TerritoryChina
CityNanjing
Period16/06/1718/06/17

Keywords

  • AMBTC
  • Huffman coding
  • Low bit-rate
  • Prediction
  • Reversible information hiding

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