When we talk about steganographic algorithms, it is imperative to study the quality of the image hosting and image retrieval, and is also necessary to consider the robustness of the algorithm. This paper presents the experimental results obtained by applying a steganographic algorithm to RGB images. The measures used are qualitative and quantitative related to the multichannel of Human Vision System. When this algorithm is employed we see that the numerical calculations performed by the computer cause errors and alterations in the images chosen, so we applied a scaling factor depending on the number of bits of the image to adjust these errors. © 2009 IEEE.