Design and Analysis of Efficient Blind Reversible Watermarking Technique

This paper proposes a blind reversible watermarking techniquewhich incorporates the histogram shifting in wavelet domain. The integer wavelet transform is used to transform the image into wavelet domain. The watermark data is embedded into the sub-band coefficients identified by just noticeable distortion (JND)of the transformed host image. To ensure the prohibition of pixel overflow and underflow in spatial domain property inspired pixel adjustment (PIPA) is also employed, finally wavelet-domain statistical quantity histogram shifting and clustering are used for improving robustness and reducing run-time complexity of the extracting process. The experimental results demonstrate predominance of the proposed approach for different host and watermark images. It also demonstrate the efficient recovery of both watermark and host image.