A Quality-Preserving Hidden Information Removal Approach for Digital Images
In this paper, the authors introduce a novel algorithm to destroy the steganographic information embedded in an image without changing the quality of the image and with no prior knowledge of the used steganography scheme. They propose the new Neighbor Class Displacement (NCD) algorithm, which arranges the pixels of an image into a given number of classes. The elements of two specific classes are substituted with each other based on different conditions related to the content of the class elements. For evaluating the effectiveness of their attack, they apply NCD to different steganographically modified images to remove the embedded hidden information.