Adaptive Image Watermarking based on K-NN Clustering
Keywords:
Image Watermarking, Discrete Cosine Transform, KNN ClusteringAbstract
The key challenge faced by researchers is the rise in the use of social media communication to prove ownership rights to multimedia material such as video, audio, text, graphics, etc. Watermarking is the method of multimedia concealment of digital content that can be used later to prove ownership credentials. The researchers in this field contribute a lot of work, but there is still a need for more robust methods. In this paper, we use the KNN clustering method to find the features in the image, which are then used to embed the content of the watermark. Later, the KNN clustering approach is again used for watermark extraction to classify the characteristics where the watermark is embedded and extraction is performed from those characteristics.
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