Hiding Compression Data in an Image Using ANN
Keywords:
Stеgаnоgrарhy, Lеаst Significаnt Bit (LSB), Nеurаl Nеtwоrks, Cоmрrеssiоn Imаgеs, Реаk Signаl tо Nоisе Rаtiо (PSNR), Mеаn Squrе Еrror (MSE).Abstract
In our modern age of technology, Stеgаnоgrарhy is one of the
technologies applied to the transferred information to hide it through
embedding secret messages in a certain medium to ensure the safety
of this information that is sent and received over the internet without
being changed and disclosed. The process of embedding takes place
within the electronic multimedia which include (texts, images, audios,
videos).
This research suggests a way to add more security to hide the
information and data inside a colored image by using the Least
Significant Bit algorithm after applying one of the artificial neural
network algorithms on it to compress this data before embedding. The
algorithm is (back propagation) to reduce the pixels in the image to be
transferred other than through the internet. This method depends on
the cover image for embedding compressed confidential data. The
results showed the difference between the images before and after
hiding through the statistical histogram of the images, and the same
before and after the compression process in addition to the process of
evaluating the quality of the method using the statistical histogram and
the scale (PSNR) and (MSЕ) where the closer to zero, the better the
result.
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Copyright © 2025 by the authors. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0). You may not alter or transform this work in any way without permission from the authors. Non-commercial use, distribution, and copying are permitted, provided that appropriate credit is given to the authors and Al-Hadba University.