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A Recent Survey of SVD- and DWT-Based Digital Image Watermarking Theories and Techniques: A Review

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Proceedings of International Conference on Big Data, Machine Learning and Applications

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 180))

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Abstract

Digital image watermarking is one of the largest research fields, and it plays a vital role in digital information authentication and security. Based on the study of watermarking systems, the whole process may be segregated into the processes of watermark embedding and extraction. In this paper, a review of the theoretical and experimental analysis and performance measurement of representative digital image watermarking systems in spatial and transform domains is presented. The significant characteristics of the digital image watermarking scheme are robustness, capacity, imperceptibility, the security of the hiding place, and false-positive of the watermarking algorithm. Comparison of the different watermarking techniques such as the least significant bit (LSB), singular value decomposition (SVD), the discrete wavelet transform (DWT), and the discrete cosine transform (DCT) is presented in a tabular form. A detailed discussion along with an algorithm for digital image encryption/decryption through embedding and extraction is given. A brief comparison of their relative advantages and disadvantages is also noted in this paper.

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Author information

Authors and Affiliations

  1. DIT University, Dehradun, Uttarakhand, 248009, India

    Ranjeet Kumar Singh, Naveen Kumar & Ashwina Kumar

  2. Assam Kaziranga University, Jorhat, Assam, 785006, India

    Anil Kumar Singh

Authors
  1. Ranjeet Kumar Singh
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  2. Anil Kumar Singh
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  3. Naveen Kumar
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  4. Ashwina Kumar
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Corresponding author

Correspondence to Ranjeet Kumar Singh .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, National Institute Of Technology Silchar, Silchar, Cachar, Assam, India

    Ripon Patgiri

  2. CSE Department, National Institute of Technology Silchar, Silchar, Cachar, India

    Sivaji Bandyopadhyay

  3. Department of Automatics and Applied Software, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

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Singh, R.K., Singh, A.K., Kumar, N., Kumar, A. (2021). A Recent Survey of SVD- and DWT-Based Digital Image Watermarking Theories and Techniques: A Review. In: Patgiri, R., Bandyopadhyay, S., Balas, V.E. (eds) Proceedings of International Conference on Big Data, Machine Learning and Applications. Lecture Notes in Networks and Systems, vol 180. Springer, Singapore. https://doi.org/10.1007/978-981-33-4788-5_15

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