Mastering Watermarking & Steganography: Protect Your Digital Content 🔒

As telecommunication and computer technologies proliferate, most data are stored and transferred in digital
format. Content owners, therefore, are searching for new technologies to protect copyrighted products in digital form. Image
watermarking emerged as a technique for protecting image copyrights. Early studies on image watermarking used the pixel
domain whereas modern watermarking methods convert a pixel based image to another domain and embed a watermark in the
transform domain. This study aims to use, Block Discrete Wavelet Transform (BDWT) as the transform domain for embedding
and extracting watermarks. This study consists of 2 parts. The first part investigates the effect of dividing an image into nonoverlapping blocks and transforming each image block to a DWT domain, independently. Then, effect of block size on
watermark success and, how it is related to block size, are analyzed. The second part investigates embedding a vector image
logo as a watermark. Vector images consist of geometric objects such as lines, circles and splines. Unlike pixel-based images,
vector images do not lose quality due to scaling. Vector watermarks deteriorate very easily if the watermarked image is
processed, such as compression or filtering. Special care must be taken when the embedded watermark is a vector image, such
as adjusting the watermark strength or distributing the watermark data into the image. The relative importance of watermark
data must be taken into account. To the best of our knowledge this study is the first to use a vector image as a watermark
embedded in a host image.