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.