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Optimal Secure Information using Digital Watermarking and Fuzzy Rule base

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Abstract

Digital image watermarking is one of the active area of research for data authentication and data hiding. Imperceptibility of the image is the main aspect that confines the amount of information to be embedded in a cover image. In this article, we have proposed a novel block based transform domain technique using Fuzzy Rule Based System (FRBS) that selects an image from sample images that can embed and carry our desired capacity with maximum imperceptibility and robustness. The proposed FRBS is applied in two phases. In first phase, it is used to choose the candidate image blocks and in second phase, it is used to choose the coefficients from the selected candidate blocks for embedding the desired capacity. Some specific images are chosen from the sample images whose total number of coefficients are greater than certain threshold. The selected images are then embedded with the desired capacity and are passed through multiple attacks. PSNR of the watermarked images and correlation of embedded desired capacity is extracted. Finally, the image is selected as a candidate image whose PSNR and correlation is higher than the other images embedded with the same desired capacity. Supremacy of proposed scheme is checked by using different type of images like medical and natural images and the performance is evaluated by comparing with the selected state of the art techniques.

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Authors and Affiliations

  1. Riphah International University, Lahore, Pakistan

    Muhammad Tahir Naseem

  2. International Islamic University, Islamabad, Pakistan

    Muhammad Nadeem & Ayyaz Hussain

  3. Air University, Islamabad, Pakistan

    Ijaz Mansoor Qureshi

Authors
  1. Muhammad Tahir Naseem
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  2. Muhammad Nadeem
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  3. Ijaz Mansoor Qureshi
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  4. Ayyaz Hussain
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Correspondence to Ayyaz Hussain.

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Naseem, M.T., Nadeem, M., Qureshi, I.M. et al. Optimal Secure Information using Digital Watermarking and Fuzzy Rule base. Multimed Tools Appl 78, 7691–7712 (2019). https://doi.org/10.1007/s11042-018-6501-8

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  • DOI: https://doi.org/10.1007/s11042-018-6501-8

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