Adaptive Steganography based on textures

In this work we present a steganographic algorithm that allows an image process to identify the regions in a cover image where it is less probable to detect a hidden message using visual attacks. The regions selected are those whose texture is not homogeneous. This is because those kind of regions are originally noisy and is too difficult to detect extra information. Since the pixels where a message is hidden depend directly on the features of the cover image the steganographic system becomes adaptive. Tests were carried out with different kind of gray scale images and the results are compared against other approaches