A steganographic method for images by pixel-value differencing
Pattern Recognition Letters
An image multiresolution representation for lossless and lossy compression
IEEE Transactions on Image Processing
Image compression using neural networks and haar wavelet
WSEAS Transactions on Signal Processing
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
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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.