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논문검색

Optimal Positions Selection for Watermark Inclusion based on a Nature Inspired Algorithm

초록

영어

One of the powerful optimization tools that has been exploited in the computer world are nature inspired algorithms (NIAs), they are also used to solve problems in the computer programming world. For many years new algorithms have been developed regarding computer science and engineering communities such algorithms concentrates on NIAs which has proven their capabilities in many aspect, in some situation rapid solutions are needed to solve some problems these algorithms provides a versatile robust solutions for many of these situations. This paper presents a watermark inclusion based on a recently presented nature inspired algorithm to enhance the digital image watermarking procedure to be used for copyright protection. The nature inspired algorithm in focus is used to perfectly identify optimal positions in the discrete wavelet transform domain (DWT) for watermark inclusion in the gray scale image, The obtained results are shown in the experimental results section clarifying the superiority of using the algorithm in focus for the watermarking technique, In addition, showing how the algorithm optimum positions are obtained with lowest effect to the PSNR value of the produced watermark included images.

목차

Abstract
 1. Introduction
 2. Related Work
 3. The Proposed Watermarking Technique based on a NIA
  3.1. Watermark Bits Embedding
  3.2. Watermark Bits Extraction
 4. NIA and its Implementation
  4.1. Cuckoo Search (CS)
  4.2. NIA for Optimal Appropriate Blocks Positions Selection
 5. Simulation Results
 6. Conclusions
 Acknowledgements
 References

저자정보

  • Jumana Waleed School of information Science and Engineering, Central South University, Changsha, 410083, China, College of Science, University of Diyala, Iraq
  • Huang Dong Jun School of information Science and Engineering, Central South University, Changsha, 410083, China
  • Saad Hameed College of Information Science and Engineering, Hunan University, Changsha, China
  • May Kamil College of Information Science and Engineering, Hunan University, Changsha, China

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