Blind linear correlation technique for image watermarking

In digital environment, make, change, update, distribute and store digital data are convenient, therefore as much abuse of digital data is added. This calls for a method to prove the ownership right on digital contents and to avoid unauthorized users to tamper and distribute digital data. Thereby to achieve this security requirement, watermarking schemes are introduced that have applications in all three forms of media, i.e., video, music and image. This thesis aims to test blind linear correlation technique by Stirmark benchmark 4.0 that contains sixteen different tests, such as attacks and distortions which are well-known in image processing. Those tests are applied on the images which are watermarked by blind linear correlation technique. In this thesis, results of this experiment are discussed and analyzed.