Enhance Your Skills with Robust Image Steganography Project (2019 IEEE) 📸

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Abstract:
The behavior of posting images on social network
platforms is happened everywhere and every single second. Thus,
the communication channels offered by various social networks
have a great potential for covert communication. However,
images transmitted through such channels will usually be JPEG
compressed, which fails most of the existing steganographic
schemes. In this paper, we propose a novel image steganography
framework that is robust to such channels. In particular, we
first obtain the channel compressed version (i.e., the channel
output) of the original image. Secret data is embedded into
the channel compressed original image by using any of the
existing JPEG steganographic schemes, which produces the
stego-image after the channel transmission. To generate the
corresponding image before the channel transmission (termed
as the intermediate image), we propose a coefficient adjustment
scheme to slightly modify the original image based on the stegoimage. The adjustment is done such that the channel compressed
version of the intermediate image is exactly the same as the
stego-image. Therefore, after the channel transmission, the secret
data can be extracted from the stego-image with 100% accuracy.
Various experiments are conducted to show the effectiveness
of the proposed framework for image steganography robust to
JPEG compression.