Abstract
Advances in the digital media ease the users to transmit/share digital data in the form of audio files, digital images and digital videos. However, the risk involved in such transmission or sharing is also increasing. The necessity to protect the copyrights of digital data and thereby identification of the owner is essential. Digital watermarking is the best solution for ownership identification and copyright protection. This paper proposes a novel blind watermarking approach based on logistic map. The watermark is embedded into a cover image using singular value decomposition (SVD). The experimental results and comparative analysis prove the efficacy of our method. For objective evaluation, peak signal to noise ratio (PSNR) and normalized cross-correlation (NCC) have been used to estimate the imperceptibility and robustness of our watermarking process.
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Purti, G.K., Yadav, D.K., Chandra Mouli, P.V.S.S.R. (2021). Secure and Robust Blind Watermarking of Digital Images Using Logistic Map. In: Tripathy, A., Sarkar, M., Sahoo, J., Li, KC., Chinara, S. (eds) Advances in Distributed Computing and Machine Learning. Lecture Notes in Networks and Systems, vol 127. Springer, Singapore. https://doi.org/10.1007/978-981-15-4218-3_39
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DOI: https://doi.org/10.1007/978-981-15-4218-3_39
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