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IADIS International Conference WWW/Internet 20105. IMPLEMENTATIONThe Matlab 6.5 and Mathematica 4.0 applications are used to build the proposed system. Many functions areconstructed depending on the given facilities of the selected applications.5.1 Experiments and Results1- First test was applied on 100x100 gray scale images. Figures 3, 4 show the selected image and itshistogram. The result of RIG approach is (256 by 256) color Cover image shown in Figure 5.Figure 3. Embedded Image (100x100)Figure 4. Embedded Image HistogramThe grammar rule of the embedded image is illustrated bellow:Random Image formulaRGB Color FormulaComposed FormulaR Sin (X[])G If (X[],Y[])B Mult(Sin(X[]),Y[]) RGB [Sin(X[]),If(X[],Y[]),Mult(Sin(X[]),Y[]]Figure 5. Shows the RIG generated image of the above formula:Figure 5. The Generated (256x256) Image Using RandomArt approachFigure 6. Energy spectrum of the generated image byapplying FFTThe amount of information of the generated cover image is calculated as :{ Entropy value} =7.9645 bits/ pixel.2- The second test was utilized on (150x150) gray scale embedded image shown in Figure 7. Figure 8.Describes the histogram of the selected image. The output of RIG is(256x256) color image is shown inFigure 9 ,The grammar rule of the embedded image is illustrated bellow:Figure 7. Embedded Image (150x150)Figure 8. Embedded Image HistogramThe grammar rule of the embedded image is illustrated bellow:Random Image formulaRGB ColorFormulaComposed FormulaR Tan (X[])G If (X[],Y[])B Add(Cos(X[]),If(X[],Y[])) RGB [Tan(X[]),If(X[],Y[]),Add(Cos(X[]),If(X[],Y[])]359