Adaptive Image Watermarking based on Mean-Shift Clustering

Abstract

With the increase in usage of social media communication proving ownership rights on the multimedia content like video, audio, text, graphics, etc., is the major challenge faced by the researchers. Watermarking is the process of hiding digital content in multimedia which can be used for proving ownership credentials later. A lot of work is contributed by the researchers in this area, but still there is a need for more robust methods. In this paper we discover the features in the image by using mean-shift clustering method , which are then used for embedding the watermark content. Later, for watermark extraction again mean-shift clustering method is used to identify the features where the watermark is embedded and extraction is done from those features.