On limits of embedding in 3D images based on 2D Watson's model

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Abstract

We extend the Watson image quality metric to 3D images through the concept of integral imaging. In the Watson's model, perceptual thresholds for changes to the DCT coefficients of a 2D image are given for information hiding. These thresholds are estimated in a way that the resulting distortion in the 2D image remains undetectable by the human eyes. In this paper, the same perceptual thresholds are estimated for a 3D scene in the integral imaging method. These thresholds are obtained based on the Watson's model using the relation between 2D elemental images and resulting 3D image. The proposed model is evaluated through subjective tests in a typical image steganography scheme. © 2011 Springer-Verlag.

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Kavehvash, Z., & Ghaemmaghami, S. (2011). On limits of embedding in 3D images based on 2D Watson’s model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6526 LNCS, pp. 293–304). Springer Verlag. https://doi.org/10.1007/978-3-642-18405-5_24

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