pixels. In other words, minor changes in regular area are more dramatic than larger modifications in edge ones.
Our proposal is thus to embed message bits into edge shapes while preserving other smooth regions.
pixels. In other words, minor changes in regular area are more dramatic than larger modifications in edge ones.
Our proposal is thus to embed message bits into edge shapes while preserving other smooth regions.
Then the data hiding algorithm is achieved by applying LSBMR on pixels of this region.
The authors show that this method is more efficient than all the LSB, LSBM, LSBMR approaches
thanks to extensive experiments.
Then the data hiding algorithm is achieved by applying LSBMR on pixels of this region.
The authors show that this method is more efficient than all the LSB, LSBM, LSBMR approaches
thanks to extensive experiments.
produce stego content
with only considering the payload, not the type of image signal: the higher the payload is,
the better the approach is said to be.
produce stego content
with only considering the payload, not the type of image signal: the higher the payload is,
the better the approach is said to be.
Consider for instance a uniformly black image: a very tiny modification of its pixels can be easily detectable.
The approach we propose is thus to provide a self adaptive algorithm with a high payload, which depends on the
cover signal.
Consider for instance a uniformly black image: a very tiny modification of its pixels can be easily detectable.
The approach we propose is thus to provide a self adaptive algorithm with a high payload, which depends on the
cover signal.