Ling Na Hu Ling Ge Jiang, “Blind Detection of LSB Watermarking at Low Embedding Rate in Grayscale Images,” In: M. Celik, G. Sharma, E. Saber and A. Tekalp, Eds., Hierarchical Watermarking for secure Image Authentication with Localization, IEEE Transactions on Image Process, Vol. 11, No. 6, 2002, pp. 585-595.

has been cited by the following article:

• TITLE: Reversible Digital Image Watermarking Scheme Using Bit Replacement and Majority Algorithm Technique

  AUTHORS: Koushik Pal, Goutam Ghosh, Mahua Bhattacharya

  KEYWORDS: Additive Noise; Salt and Pepper Noise; Compression; Filtering; Averaging; Multiple Watermarking; Majority Algorithm

  JOURNAL NAME: Journal of Intelligent Learning Systems and Applications, Vol.4 No.3, August 30, 2012

  ABSTRACT: The current paper presents a new digital watermarking method through bit replacement technology, which stores mul-tiple copies of the same data that is to be hidden in a scrambled form in the cover image. In this paper an indigenous approach is described for recovering the data from the damaged copies of the data under attack by applying a majority algorithm to find the closest twin of the embedded information. A new type of non-oblivious detection method is also proposed. The improvement in performance is supported through experimental results which show much enhancement in the visual and statistical invisibility of hidden data.