Wavelet Transform based Multiple Image Watermarking Technique

Abstract

Abstract In satellite communication the information’s like frequency, Polarization, Data format, Timing information are need to be protected for secure communication. Digital watermarking is the technique which provides secure way of communication in which the secret information or watermark can be transmitted safely. Wavelet Transform is playing an increasingly important role in watermarking due to its good spatial-frequency characteristics, and its wide applications in the image and video coding standards. In this work a novel Hybrid Steerable Pyramid with Discrete Wavelet Transform (SP+DWT) based multiple watermarking is attempted for colour images. In order to increase the robustness of the algorithm Arnold transform and Fibonacci transform based image scrambler is applied to watermarks before embedding in to cover image. The performance of the proposed scheme is validated for various attacks, such as Gaussian noise, Salt & Pepper Noise, Rotation, Translation and Speckle Noise. The proposed method is withstood for all the noise attacks and the performance of the proposed algorithm is measured using Peak Signal to Noise Ratio (PSNR), Normalized Correlation (NC) and Similarity Measure (SM). Pearson Independent component Analysis (ICA) is applied at the receiving end to extract watermarks from the input image. To analyse the inclusion of image scrambler the results of proposed algorithm is compared with same algorithm without image scrambler applied. The performance of proposed technique is also compared with other wavelet transforms like Discrete Wavelet Transform (DWT), Wavelet Packet Transform (WPT) and Integer Wavelet Transform (IWT). Simulation results such as PSNR,NC,SM shows that hybrid SP+DWT based watermarking technique and extraction using Pearson ICA results in high imperceptible, better security and robustness, when compared to DWT, WPT and IWT based watermarking and extraction using Pearson ICA.