Abstract
The steganalysis for the least significant bit (LSB) matching is a hot and difficult topic. Some bit plane/s might be changed during the LSB matching steganograpy. Huang et al. proposed a method based on the differences in the least two bit planes of an image and the results show good performance to uncompressed images. In this paper, we make some improvements by introducing Median Filter and sum image. The Median Filter, which is effective to remove random noise in an image, is useful for decreasing the noise brought by embedding based on the additive noise steganography model. The sum image is the same as a low-pass filter to an image in some degree. With Median Filter and sum image together, the influence to a stego image is more than a cover image so the differences can be used for discriminating. Extensive experimental results show that the new detectors in our improved method perform better than the old ones, especially to uncompressed images.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
