Redundant-wavelet watermarking with pixel-wise masking

Robustness enhancement for image hiding algorithm in cellular automata domain

“…The second row of Fig. 6 shows extracted results with the image hiding method in [15]. From the experimental results, it can be concluded that the extracted secret images of the conventional methods can be hardly recognized when the image data was damaged seriously.…”

“…To demonstrate the robustness of secret image of this technique, we comparatively analyze the characteristics of the robustness against occlusion, Gaussian noise and JPEG compression attacks for the proposed method and the conventional image hiding methods [13,15]. In [13], the image hiding is implemented by combining the use of DWT and pixel-wise masking algorithms in which the secret image data is directly embedded into the host image without using lensless integral imaging algorithm.…”

“…In [13], the image hiding is implemented by combining the use of DWT and pixel-wise masking algorithms in which the secret image data is directly embedded into the host image without using lensless integral imaging algorithm. An image hiding algorithm proposed in [15], in which the secret data was embedded into the redundant-wavelet transform domain and the embedding parameter measured by a modified pixel-wise masking algorithm. The first row of Fig.…”

“…Further, it has been reported that applying higher-order interpolation methods to CIIR would improve the resolution of the reconstructed image [25,27]. Therefore, in order to ameliorate the quality-enhanced secret image, in this work, we have introduced the widely used interpolation algorithm [32]: bilinear interpolation, and can be expressed as [13]; the second row shows the reconstructed images with the algorithm in [15]. …”

“…However, because embedding is made only in the highest resolution level, the watermark information can be easily removed by a potential attacker. After that, many image hiding techniques based on modified improved pixel-wise masking techniques have been presented in [14][15][16][17]. In order to improve the robustness, the moment-based watermarking methods have been proposed in [18,19], the researchers incorporated the orthogonal image moments into their own methods.…”