This paper proposes a novel and efficient method for destructing any secret information hidden (steganograms) inside an image by any steganographic technique while preserving the visual quality of the images as well. The method involves an iterative multi-directional diffusion process in the Fourier domain that disrupts the stego content present in the image until the visual quality of the image does not drop below the desired threshold. Most importantly, our presented method is universal and blind and does not entail any knowledge about the employed steganography methods, the hidden message or the cover image. Simulations ran on 12600 images created by eight different state-of-the-art steganography algorithms prove that our technique succeeded in erasing from 80% to 95% of stego content on average and is superior to other similar systems.

本文提出了一种新颖而有效的方法，该方法可以通过任何隐写技术来破坏图像中隐藏的任何秘密信息（隐写），同时还可以保持图像的视觉质量。该方法涉及在傅立叶域中的迭代多方向扩散过程，该过程破坏图像中存在的隐秘含量，直到图像的视觉质量不降至所需阈值以下。最重要的是，我们提出的方法是通用且盲目的，并且不需要任何有关所用隐写方法，隐藏消息或封面图像的知识。由八种不同的隐秘算法产生的12600张图像上的仿真结果证明，我们的技术平均成功地将隐秘内容的80％擦除到了95％，并且优于其他类似系统。