Authors : S. Alaudeen Basha and V. Vijayakumar
Abstract: This study presents a novel invisible robust watermarking scheme for embedding and extracting a digital watermark in an image. The novelty lies in determining a perceptually important sub-image in the host image. Invisible insertion of the watermark is performed in the most significant region of the host image such that tampering of that portion with an intention to remove or destroy will degrade the esthetic quality and value of the image. This study describes our study that extended our watermarking using Least Significant Bit (LSB) technique applied it to images to embed and extract a speech signal. At last Peak Signal to Noise Ratio (PSNR) is calculated.
S. Alaudeen Basha and V. Vijayakumar, 2017. Watermarking in Speech Signal Using Least Significant Bit Technique. Journal of Engineering and Applied Sciences, 12: 6757-6759.