Reversible image hiding using shifting of mean values with interlaced grouping and side grouping

A new reversible data hiding is proposed. We group the pixels of block in the image into two groups with two methods called side grouping and interlaced grouping. Then, we calculate the mean values of the pixel values of the two groups, respectively. By using the relation between the difference of two mean values and the threshold value we embed secret data in the block. Because reversible data hiding may work in lossless environment, we use the multiple data hiding skill to embed secret data. By taking advantage of this skill, our algorithm could extract the secret data correctly and recover the cover image from the stego-image in a lossless environment. Also, we can extract secret data correctly in a low noisy environment due to JPEG compression.

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