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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© 2006 Springer-Verlag Berlin Heidelberg
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Lai, BL., Chang, LW. (2006). Adaptive Data Hiding for Images Based on Harr Discrete Wavelet Transform. In: Chang, LW., Lie, WN. (eds) Advances in Image and Video Technology. PSIVT 2006. Lecture Notes in Computer Science, vol 4319. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11949534_109
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DOI: https://doi.org/10.1007/11949534_109
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68297-4
Online ISBN: 978-3-540-68298-1
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