Abstract
This paper proposes a novel blind logo multi-resolution watermarking technique based on independent component analysis (ICA) for extraction. To exploit the human visual system (HVS) and the robustness, a perceptual model is applied with a stochastic approach based on noise visibility function (NVF) for adaptive watermarking algorithm. A logo watermark is embedded by modifying middle-frequency sub-bands of wavelet transform. The new detection technique based on ICA is introduced during the extraction phase to ensure a blind watermark. The proposed algorithm is checked for the robustness to several compression algorithms such as Jpeg, jpeg 2000, SPIHT, EZW, and principal components analysis (PCA) based compression and also robust against various image and digital processing operators.
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Hien, T.D., Nakao, Z., Chen, YW. (2004). A Robust Logo Multiresolution Watermarking Based on Independent Component Analysis Extraction. In: Kalker, T., Cox, I., Ro, Y.M. (eds) Digital Watermarking. IWDW 2003. Lecture Notes in Computer Science, vol 2939. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24624-4_32
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DOI: https://doi.org/10.1007/978-3-540-24624-4_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-21061-0
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