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Instead, embedding the message in DCT domain permits to avoid this issue.
The objective of any steganographic technique is to preserve these properties while embedding the message in the cover media.
In steganography, whatever the used algorithm for hiding data, we need to reconstruct the speech signals after embedding the message in the original signal.
The edge detection method presented here is capable of estimating the exact edge intensities for both the cover and stego images (before and after embedding the message), which is essential when extracting the message.
As a consequence, many steganographic techniques have been designed for JPEG, most of them embedding the message in DCT domain by modifying the least significant bits (LSBs) of the quantized DCT coefficients.
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Recall that a word embeds the message if.
For a given payload, the sharpest possible edges are selected to embed the message.
The key idea is to use some syndrome computation to embed the message into the cover-data.
In [12], the maximal number of locked positions, without failing to embed the message, is experimentally estimated to be.
We use the cosets of a GRS code to embed the message, finding a vector in the proper coset, close enough to.
In [5], two image steganographic techniques (MB1 and MB2) are illustrated: MB1 models DCT AC histograms by the generalized Cauchy distribution and embeds the message in the cover image through an entropy decoder driven by the model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com