Reversible Data Hiding in Encrypted Images using Local Difference of Neighboring Pixels

Abstract: This paper presents a reversible data hiding in encrypted image (RDHEI), which divides image into non-overlapping blocks. In each block, central pixel of the block is considered as leader pixel and others as follower ones. The prediction errors between the intensity of follower pixels and leader ones are calculated and analyzed to determine a feature for block embedding capacity. This feature indicates the amount of data that can be embedded in a block. Using this pre-process for whole blocks, we vacate rooms before the encryption of the original image to achieve high embedding capacity. Also, using the features of all blocks, embedded data is extracted and the original image is perfectly reconstructed at the decoding phase. In effect, comparing to existent RDHEI algorithms, embedding capacity is significantly increased in the proposed algorithm. Experimental results confirm that the proposed algorithm outperforms state of the art ones.