Abstract
This paper, discuss the features and concepts pertaining to the three popular visible reversible watermarking algorithms and analyze them to evaluate with metrics such as MSE and PSNR values based on implementation i.e. a) Wavelet based watermarking technique b) Tian’s difference expansion technique c) LSB–prediction error expansion technique. It is recommended to adopt new reversible data-embedding technique called Least Significant Bit prediction-error expansion which exploits the correlation inherent in the neighborhood of a pixel and provides an effective method for data embedding than the difference-expansion wavelet based schemes. Reversibility aspect ensures image verification, security , lossless embedding and also extraction of images during the damage of source images itself (i.e., image recovery process). Keywords: Watermark, data embedding, data security
Highlights
A reversible watermarking algorithm with very high data hiding capacity
Once the algorithm is discovered, an intermediate party could modify the embedded watermark (Kamstra & Heijmans, 2005) but clicks over better Peak Signal-to-Noise Ratio (PSNR) values when compared with other methods
It is analyzed and concluded that out of three algorithms the LSB method has emerged as a better technique which is bit value based embedding with higher PSNR value
Summary
A reversible watermarking algorithm with very high data hiding capacity To maximize the amount of data frequency plane with one wavelet function, the that can be hidden into an image, the embedding Once the algorithm is discovered, an intermediate party could modify the embedded watermark (Kamstra & Heijmans, 2005) but clicks over better PSNR values when compared with other methods.
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