Optimum segment length for embedding in the LSB of JPEG images with Minimum MSE
Hamdy A. Morsy1, Zaki B. Nossair2, Alaa M. Hamdy3, Fathy Z. Amer4
1H. A. Morsy, Department of Telecommunication, Helwan University, Cairo, Egypt.
2Z. B. Nossair, Department of Telecommunication, Helwan University, Cairo, Egypt.
3A. M. Hamdy, Department of Telecommunication, Helwan University, Cairo, Egypt.
4F. Z. Amer, Department of Telecommunication, Helwan University, Cairo, Egypt.
Manuscript received on August 13, 2011. | Revised Manuscript received on August 19, 2011. | Manuscript published on September 05, 2011. | PP: 72-77 | Volume-1 Issue-4, September 2011. | Retrieval Number: D087071411/2011©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Steganography is the science of hiding communication in an innocuous cover medium such as image, audio and video. In this paper, a new steganographic algorithm with optimum segment length and minimum MSE is presented, an algorithm that utilizes the redundant bits of discrete cosine transform (DCT) of JPEG images for message embedding. This algorithm offers high capacity with minimum statistical changes and minimum MSE compared to existing steganographic systems.
Keywords: JPEG images, steganography, steganalysis, information hiding, JPEG hiding.