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J. Mielikainen, “LSB Matching Revisited,” IEEE Signal Processing Letters, Vol. 13, No. 5, 2006, pp. 285-287. doi:10.1109/LSP.2006.870357

has been cited by the following article:

• TITLE: Research on Embedding Capacity and Efficiency of Information Hiding Based on Digital Images

  AUTHORS: Yanping Zhang, Juan Jiang, Yongliang Zha, Heng Zhang, Shu Zhao

  KEYWORDS: Information Hiding; Embedding Capacity; Embedding Efficiency; Security; Peak-Signal-to-Noise-Rate(PSNR)

  JOURNAL NAME: International Journal of Intelligence Science, Vol.3 No.2, April 30, 2013

  ABSTRACT: Generally speaking, being an efficient information hiding scheme, what we want to achieve is high embedding capacity of the cover image and high visual quality of the stego image, high visual quality is also called embedding efficiency. This paper mainly studies on the information hiding technology based on gray-scale digital images and especially considers the improvement of embedding capacity and embedding efficiency. For the purpose of that, two algorithms for information hiding were proposed, one is called high capacity of information hiding algorithm (HCIH for short), which achieves high embedding rate, and the other is called high quality of information hiding algorithm (HQIH for short), which realizes high embedding efficiency. The simulation experiments show that our proposed algorithms achieve better performance.