Abstract
This chapter presents a reversible watermarking approach based on integer wavelet transform and adaptive threshold for a novel application of watermarking. The proposed technique exploits the multi-resolution representation capability of wavelet transform for achieving high payload with low imperceptibility. Depth maps of objects obtained from sequence of 2D images and 3D Camera are secretly embedded for subsequent 3D analysis. Additionally, for efficient generation of the depth map from 2D images, we use a focus measure based on Discrete Cosine Transform and Principal Component Analysis. The approach is able not only in extracting the depth map, but also recovers the cover image. Experimental results conducted on real images acquired using the microscopic control system and 3D camera validates the concept. 3D cameras equipped with self embedding capability could be helpful in medical, military, and law enforcement image processing. Further the technique has minimal computational requirements thus enabling the visualization of embedded implementation in future 3D devices.
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Ali, A., Khan, A. (2009). Reversible Watermarking for 3D Cameras: Hiding Depth Maps. In: Grgic, M., Delac, K., Ghanbari, M. (eds) Recent Advances in Multimedia Signal Processing and Communications. Studies in Computational Intelligence, vol 231. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02900-4_19
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DOI: https://doi.org/10.1007/978-3-642-02900-4_19
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