A Reversible Data Hiding Scheme Based on Histogram Modification in Integer DWT Domain for BTC Compressed Images

Reversible data hiding is an efficient way for embedding additional data into cover media, which can reversibly recover the original cover media when the additional data is extracted. It has been widely utilized in secure communication and copyright protection. A reversible data hiding scheme imposed on the quantized coefficients of compressed images based on block truncation coding (BTC) is proposed in this paper. Through rearranging the quantized coefficients of BTC images into matrix form, two sampled images are constructed. A histogram modification based reversible data hiding scheme in the integer discrete wavelet transform (integer DWT) domain is adopted on the constructed images. Additional data is embedded into the middle and high frequency sub-bands of the constructed image after integer DWT. Experimental results and analysis have demonstrated that, both higher embedding capacity and lower distortion have been achieved with the proposed scheme compared with existing reversible data hiding schemes for BTC compressed images.