With the revolution of E-commerce websites, there is a great need for development of copyright protection techniques, which are able to detect ownership from the Intellectual Property. In this paper, a novel watermarking method, is proposed as a solution for copyright protection of very high resolution images. Application of the concept of Visual Cryptography and Central Limit Theorem, on a Correlation Matrix obtained from the image to be protected is the key approach used in this paper, so as to satisfy the requirements. The proposed method have merits such as 100% imperceptibility and unrestricted watermark image size, without compromising robustness.
Provision quality of service (QoS) is the need of coming generation networks. Wherein mechanism for the provision of quality of service has emerged in different directions, the effort on minimizing the broadcasting overhead in a setup process is observed to be high. The past development in resource allocation has focused on the optimization of quality of service in the communication process. However, not much emphasis is made on the signaling overhead for multicast signal propagation under dynamic network resource condition. The limitation is observed to be more predominant in dynamic network such as mobile Adhoc network. The link overhead under a dynamic resource variation impact on the channel allocation performance and hence introduces delay. This paper, present an approach of resource allocation under the dynamic network condition for 1-hop and Multihop broadcasting. The proposed approach optimizes the channel allocation by the self-detection of available channel due to additional secondary users and allocates a communication channel based on a sensing mechanism. Wherein, the conventional method uses a fixed level of available channel, the proposed approach gives the advantage of channel allocation with channel sensing under dynamic user condition. The proposed approach illustrates a higher success rate and minimization of average delay under a dynamic network condition.
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