An improvement of EMD embedding method for large payloads by pixel segmentation strategy

  • Authors:
  • Chin-Feng Lee;Chin-Chen Chang;Kuo-Hua Wang

  • Affiliations:
  • Department of Information Management, Chaoyang University of Technology, 168 Jifong E. Road, Wufong Township, Taichung County 41349, Taiwan, ROC;Department of Information Engineering and Computer Science, Feng Chia University, 100 Wenhwa Road, Seatwen, Taichung 40724, Taiwan, ROC and Department of Computer Science and Information Engineeri ...;Department of Information Engineering and Computer Science, Feng Chia University, 100 Wenhwa Road, Seatwen, Taichung 40724, Taiwan, ROC

  • Venue:
  • Image and Vision Computing
  • Year:
  • 2008

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Abstract

In this paper, a novel data hiding method by using pixel segmentation strategy is proposed. The proposed paper keeps (16-p"m) MSBs of a pixel-pair unchanged and alters p"m LSBs to indicate the virtual modifications on an m-dimensional pseudo-random vectors for carrying the secret data, where m=2^p^"^m^-^1-1. The embedding rate of proposed method is R=(log"2(2m+1))/2, which is greater than that of the EMD embedding method proposed by Zhang and Wang [X. Zhang, S. Wang, Efficient steganographic embedding by exploiting modification direction, IEEE Communication Letters 10 (2006) (113), pp.781-783], because the embedding rate of EMD embedding method is R=(log"2(2n+1))/n, when m2 and n@?2. The experimental results show that the proposed method increases the number of embedded secret bits more than 1.7 times compared with the EMD embedding method. Even with such high embedding capacity, the average PSNR of 44.3dB shows that the visual quality does not decline to an unacceptable degree.