Article

Adaptive data hiding for images based on harr discrete wavelet transform

Authors:

Bo-Luen Lai,

Long-Wen ChangAuthors Info & Claims

PSIVT'06: Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology

Pages 1085 - 1093

https://doi.org/10.1007/11949534_109

Published: 10 December 2006 Publication History

Abstract

In this paper, we propose an adaptive data hiding method in the frequency domain. We divide the original image into 8*8 sub-blocks and use Haar Discrete Wavelet Transform (HDWT) to decompose each block to obtain LL1, HL1, LH1 and HH1 bands. Since Human eyes are insensitive to the edge region we embed more data when the band LL1 is complex. A data hiding capacity function is used to analyze the complexity of LH1, HL1 and HH1 bands. If these three subbands are complex, the LL1 band is decomposed and more data bits are embedded in the further decomposed LH2, HL2 and HH2 bands. From the experiments, we find that the proposed method outperforms other methods in both data hiding capacity and image quality.

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Tziakouris GBahsoon RBabar M(2018)A Survey on Self-Adaptive Security for Large-scale Open EnvironmentsACM Computing Surveys10.1145/323414851:5(1-42)Online publication date: 9-Oct-2018
https://dl.acm.org/doi/10.1145/3234148
Singhal ABedi PMitra STrajković LBedi PMcIntosh SRajasree M(2015)Steganography using Cuckoo Optimized Wavelet CoefficientsProceedings of the Third International Symposium on Women in Computing and Informatics10.1145/2791405.2791500(365-370)Online publication date: 10-Aug-2015
https://dl.acm.org/doi/10.1145/2791405.2791500
Nehete SSawarkar SSohani MMishra B(2011)Digital audio steganography using DWT with reduced embedding error and better extraction compared to DCTProceedings of the International Conference & Workshop on Emerging Trends in Technology10.1145/1980022.1980059(167-168)Online publication date: 25-Feb-2011
https://dl.acm.org/doi/10.1145/1980022.1980059
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Published In

PSIVT'06: Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology

December 2006

1342 pages

ISBN:354068297X

Editors:
Long-Wen Chang
Department of Computer Science, National Tsing Hua University, HsinChu, Taiwan
,
Wen-Nung Lie
Department of Electrical Engineering, National Chung Cheng University, Chia-Yi, Taiwan, ROC

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 10 December 2006

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Tziakouris GBahsoon RBabar M(2018)A Survey on Self-Adaptive Security for Large-scale Open EnvironmentsACM Computing Surveys10.1145/323414851:5(1-42)Online publication date: 9-Oct-2018
https://dl.acm.org/doi/10.1145/3234148
Singhal ABedi PMitra STrajković LBedi PMcIntosh SRajasree M(2015)Steganography using Cuckoo Optimized Wavelet CoefficientsProceedings of the Third International Symposium on Women in Computing and Informatics10.1145/2791405.2791500(365-370)Online publication date: 10-Aug-2015
https://dl.acm.org/doi/10.1145/2791405.2791500
Nehete SSawarkar SSohani MMishra B(2011)Digital audio steganography using DWT with reduced embedding error and better extraction compared to DCTProceedings of the International Conference & Workshop on Emerging Trends in Technology10.1145/1980022.1980059(167-168)Online publication date: 25-Feb-2011
https://dl.acm.org/doi/10.1145/1980022.1980059
Khashman ADimililer K(2008)Image compression using neural networks and haar waveletWSEAS Transactions on Signal Processing10.5555/1466835.14668444:5(330-339)Online publication date: 1-May-2008
https://dl.acm.org/doi/10.5555/1466835.1466844

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