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In this article, our main purpose is to provide a rigorous watermark decoding framework for data hiding using spread spectrum embedding in the DCT domain and the DFT magnitude domain.
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This article investigates efficient blind watermark decoding approaches for hidden messages embedded into host images, within the framework of additive spread spectrum (SS) embedding based for data hiding.
b Creating rooms for data hiding.
We proposed the (1,7,4) scheme for data hiding.
Let the pixels in red serve as the reference points for data hiding.
This approach was the first instance of using the error correcting code for data hiding.
In practice, due to different desired properties, different transform domains could be used for data hiding.
In Section 2, the traditional additive SS and ISS embedding schemes are briefly reviewed for data hiding and communicating hidden message.
Note that MME requires the original uncompressed image for data hiding, but not for decoding.
Preprocessing operations on original image for data hiding can be effectively avoided before encryption.
An efficient method of using powerful BCH codes for data hiding has been presented in [15 17].
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