Abstract
In this paper, an adaptive blind watermarking algorithm based on balanced multiwavelets transform is proposed. According to the properties of balanced multiwavelets and human vision system, a modified version of the well-established Lewis perceptual model is given. Therefore, the strength of embedded watermark is controlled by the local properties of the host image .The subbands of balanced multiwavelets transformation are similar to each other in the same scale, so the most similar subbands are chosen to embed the watermark by modifying the relation of the two subbands adaptively under the model, the watermark extraction can be performed without original image. Experimental results show that the watermarked images look visually identical to the original ones, and the watermark also successfully survives after image processing operations such as image cropping, scaling, filtering and JPEG compression.
This work is supported by national high-tech research and development program (“863”program) of China under grant No, (2007AA01Z176).
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Zhang, N., Huang, H., Zhou, Q., Qi, C. (2009). Balanced Multiwavelets Based Digital Image Watermarking. In: Kim, HJ., Katzenbeisser, S., Ho, A.T.S. (eds) Digital Watermarking. IWDW 2008. Lecture Notes in Computer Science, vol 5450. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04438-0_30
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DOI: https://doi.org/10.1007/978-3-642-04438-0_30
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