Implementation of Wavelet Based Modified Buyer-Seller Watermarking Protocol (BSWP)

Wavelet based watermarking is a promising technology for embedding the information as an unperceivable signal into the digital contents. The main characteristics of wavelet are wavelets' excellent spatial localization and multi-resolution. Wavelet based modified buyer-seller watermarking protocols integrate multimedia, watermarking techniques, fingerprinting and cryptography for copyright protection, piracy tracing, and privacy protection of the digital content. In this paper we have implemented the wavelet based modified buyer-seller watermarking protocol. Our protocol focuses on managing the watermark. A binary watermarked image that is a logo is embedded in certain selected sub-bands of a 3-level DWT transformed of the original image. Then, the DWT sub band is computed and the sequences of the watermark bits are embedded in the coefficients of the high frequency sub-bands. The quality of the watermarked image generated with wavelet based method is better, using the same watermark strength. To check the imperceptibility and robustness of the watermarked image, PSNR and NCC parameters are used. Furthermore the algorithm is robust against the various attacks such as JPEG Compression, Rotation, Gaussian Noise, Median Filter and Salt & Pepper Noise. Key-Words: Copyright Protection; Wavelet Transform; Fingerprinting; Cryptography;