Wavelet domain digital watermarking algorithm based on threshold classification

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

8 Scopus citations

Abstract

This paper is to analyze the complexity of the images for the robustness of the watermark, and to propose a digital watermarking algorithm based on threshold classification in the wavelet domain combined with iterative threshold method. In this algorithm, the original image is divided into different parts of blocks. Then parts of the blocks are selected to be embedded with watermark respectively according to the image entropy. The watermark embedding strength for each block is set according to the image entropy. Optimal threshold of low-frequency sub-band from the two-stage decomposition is to be gained one by one with the iterative threshold method. With the optimal threshold derived, the DWT coefficient of the low-frequency sub-bands is to be classified. According to the result of the classification, different methods are used to overlay the watermark signal respectively. The experimental results have shown that, the algorithm has good imperceptibility and robustness to some common attacks.

Original languageEnglish
Title of host publicationAdvances in Swarm and Computational Intelligence - 6th International Conference, ICSI 2015 held in conjunction with the 2nd BRICS Congress, CCI 2015, Proceedings
EditorsAndries Engelbrecht, Fernando Buarque, Alexander Gelbukh, Yuhui Shi, Swagatam Das, Ying Tan
PublisherSpringer Verlag
Pages129-136
Number of pages8
ISBN (Print)9783319204680
DOIs
StatePublished - 2015
Event6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the 2nd BRICS Congress on Computational Intelligence, CCI 2015 - Beijing, China
Duration: 25 Jun 201528 Jun 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9142
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the 2nd BRICS Congress on Computational Intelligence, CCI 2015
Country/TerritoryChina
CityBeijing
Period25/06/1528/06/15

Keywords

  • Discrete Wavelet Transform (DWT)
  • Texture complexity
  • Threshold

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