Lifting Wavelet Transform and Singular Values Decomposition for Secure Image Watermarking

In this paper, we present a technique of secure watermarking of grayscale and color images. This technique consists in applying the Singular Value Decomposition (SVD) in LWT (Lifting Wavelet Transform) domain in order to insert the watermark image (grayscale) in the host image (grayscale or color image). It also uses signature in the embedding and extraction steps. The technique is applied on a number of grayscale and color images. The performance of this technique is proved by the PSNR (Pick Signal to Noise Ratio), the MSE (Mean Square Error) and the SSIM (structural similarity) computations.

Authors:

• Siraa Ben Ftima
• Mourad Talbi
• Tahar Ezzedine

Keywords:

• Color image
• grayscale image
• singular values decomposition
• lifting wavelet transform
• image watermarking
• watermark
• secure.

References:

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