A Securitized HAAR Wavelet And Canny Edge Audio And Video Watermarking

With the advancement in computer network, communication makes transmission of information relatively simple and quick. Many research works on Reversible and moment-based watermarking addressed security and reduced bit error rate but by focusing on either audio or video, compromising multimedia aspect that includes both audio and video. In the proposed framework, an integrated Haar Wavelet and Canny Edge- based Audio and Video (HWCE-AV) watermarking framework is introduced to reduce the bit error rate during embedding and reduce the computational cost while embedding watermarked image. First, Haar Wavelet- based Audio Watermarking is applied to the host audio signal where additive function is performed aiming at improving the security. Effective embedding using Haar Wavelet Transform is performed by splitting the host audio signal into fragments reducing the bit error rate involved during embedding. Second Canny Edge-based Video Watermarking aims at reducing the channel bit error rate by introducing first derivative Gaussian in Canny Edge Detector.