ABSTRACT
Several purpose-oriented watermarking techniques have been developed. Cox et al. have proposed spread-spectrum watermarking to embed a watermark into regions having large coefficients in the transformed image. Wong has presented the block-based fragile watermarking technique by adopting the Rivest– Shamir– Adleman public key encryption algorithm and Message Digest 5 for the hashing function. Celik et al. have proposed a hierarchical watermarking approach to improve Wong's algorithm. The chapter describes a novel adjusted-purpose watermarking technique that is developed that integrates different types of watermarking techniques. It presents the strategies for adjusting the varying-sized transform window and the quantity factor. Mathematical morphology, which is based on set-theoretic concept, can extract object features by choosing a suitable structuring shape as a probe. The morphological operators deal with two images: the image being processed is referred to as the active image, and the other image, a kernel is referred to as the structuring element.
