Abstract: In this study, we propose a novel high capacity separable data hiding scheme that facilitates one to embed large amounts of data into the digital cover images. A natural image exhibits a property where neighbor pixel values are mostly similar and so, their differences are found to be close or equal to zero. Data is embedded into this difference histogram in a repetitive manner multiple times and thus the proposed scheme provides higher embedding capacity compared to the conventional histogram based techniques. The embedding is performed in the integer wavelet transform domain so as to make the system robust to attacks. Further, the proposed scheme uses minimal side information for restoring the cover image and the secret payload compared to the conventional schemes. Performance comparisons with other existing schemes are provided to demonstrate the superiority of the proposed scheme.
A. Kanmani, N. Karthikeyan and S. Geetha, 2016. High Capacity Separable Data Hiding Using Repeated Histogram Modification in Integer Wavelet Transform Domain. Asian Journal of Information Technology, 15: 862-865.