The principal objective of this research is an adoption of the Genetic
Algorithm (GA) for studying it firstly, and to stop over the operations which
are introduced from the genetic algorithm.The candidate field for applying
the operations of the g
enetic algorithm is the sound data compression field.
This research uses the operations of the genetic algorithm for the
enhancement of the performance of one of the popular compression method.
Vector Quantization (VQ) method is selected in this work. After studying
this method, new proposed algorithm for mixing the (GA) with this method
was constructed and then the required programs for testing this algorithm
was written. A good enhancement was recorded for the performance of the
(VQ) method when mixed with the (GA). The proposed algorithm was
tested by applying it on some sound data files. Some fidelity measures are
calculated to evaluate the performance of the new proposed algorithm.
In this paper, a technique for hiding a message into digital images
(256 gray levels) is proposed. Some tests, on the proposed technique, are
done by applying the technique in hiding messages into some images. From
the recorded results, we can not
e that the proposed watermarking technique
introduces, in many cases, a reasonable way that can be used to hide secret
messages in the digital images.
