Journal on Communications ›› 2022, Vol. 43 ›› Issue (8): 219-230.doi: 10.11959/j.issn.1000-436x.2022149

• Correspondences • Previous Articles     Next Articles

Reversible data hiding in encrypted image based on bit-plane compression of prediction error

Youqing WU1, Wenjing MA2, Zhaoxia YIN3, Yinyin PENG4, Xinpeng ZHANG5   

  1. 1 School of Computer Science and Technology, Hefei Normal University, Hefei 230601, China
    2 Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, Anhui University, Hefei 230601, China
    3 School of Communication &Electronic Engineering, East China Normal University, Shanghai 200241, China
    4 School of Computer Science and Information Engineering, Hefei University of Technology, Hefei 230031, China
    5 School of Computer Science, Fudan University, Shanghai 200433, China
  • Revised:2022-07-20 Online:2022-08-25 Published:2022-08-01
  • Supported by:
    The National Natural Science Foundation of China(62172001);The National Natural Science Foundation of China(61872003);The National Natural Science Foundation of China(U1936214);The Natural Science Foundation of Anhui Higher Education Institutions of China(KJ2021A0901);The Open Project of Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, Anhui University(MMC202106)

Abstract:

To further improve the performance of reversible data hiding in encrypted image, an algorithm for lossless compression of the prediction error bit-plane using joint encoding was proposed, which could make full use of image redundancy and reserve more embedding room.Firstly, the image owner calculated the prediction error of the image and divided the prediction error bit-plane into non-overlapping blocks of the same size.Then, the prediction error bit-plane was rearranged according to blocks and the rearranged bitstream was compressed by run-length encoding and Huffman encoding to reserve room.The data hider embedded information in the reserved room of the encrypted image.At the receiving end, the legitimate receiver extracted information and recovered images losslessly and separately.Experimental results show that the proposed algorithm makes full use of the bit-plane distribution characteristics and achieves higher embedding performance.The average embedding rates in BOSSbase and BOWS-2 datasets reach 3.763 bpp and 3.642 bpp, which are at least 0.081 bpp and 0.058 bpp higher than the state-of-the-art algorithms.

Key words: reversible data hiding in encrypted image, prediction error, run-length encoding, Huffman encoding, bit-plane

CLC Number: 

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