Background:
In this paper, we propose a secure image watermarking technique which is applied
to grayscale and color images. It consists in applying the SVD (Singular Value Decomposition) in the Lifting
Wavelet Transform domain for embedding a speech image (the watermark) into the host image.
Methods:
It also uses signature in the embedding and extraction steps. Its performance is justified by
the computation of PSNR (Pick Signal to Noise Ratio), SSIM (Structural Similarity), SNR (Signal to
Noise Ratio), SegSNR (Segmental SNR) and PESQ (Perceptual Evaluation Speech Quality).
Results:
The PSNR and SSIM are used for evaluating the perceptual quality of the watermarked image
compared to the original image. The SNR, SegSNR and PESQ are used for evaluating the perceptual
quality of the reconstructed or extracted speech signal compared to the original speech signal.
Conclusion:
The Results obtained from computation of PSNR, SSIM, SNR, SegSNR and PESQ show
the performance of the proposed technique.
Lifting Wavelet Transform for Super Resolution Image Reconstruction using MATLAB
