Testing of Image Steganography with use of LSB and DCT Techniques
Gayatri G. Bobade1, A. G. Patil2

1Miss. Gayatri G. Bobade, Department of Electronics and Telecommunication, BATU University, P.V.P.I.T, Budhgaon, Sangli, India.
2Mr. A. G. Patil, Department of Electronics and Telecommunication, BATU University, P.V.P.I.T, Budhgaon, Sangli, India.

Manuscript received on 12 August 2019 | Revised Manuscript received on 18 August 2019 | Manuscript published on 30 August 2019 | PP: 3694-3697 | Volume-8 Issue-10, August 2019 | Retrieval Number: J96590881019/2019©BEIESP | DOI: 10.35940/ijitee.J9659.0881019
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. 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: In this growing internet world, secret data communication is increasing day by day. There are various methods to communicate secretly. Steganography is one of those techniques in which data is concealed within cover data such that it cannot get detected. Steganography is usually used today on pcs where digital data is the high-speed distribution channels for carriers and networks. Steganography is the skill of understanding of unnoticeable activity at intervals. Steganalysis is the science of concealed data detection. Steganography of data which is of any form like images, audio, video or text information is done by various techniques. Image steganography is done by various technique. Least Significant Bit (LSB) with XORing and Discrete Cosine Transform (DCT) are used to test the image steganography. Images are converted to grey scale to get better accuracy. Results are tested with mean square error (MSE) and peak signal-to-noise ratio (PSNR) values.
Keywords: Least Significant Bit; Discrete Cosine Transform; Mean Square Error; Peak Signal-to-Noise Ratio; Secret Image; Cover Image; Stego Image.

Scope of the Article: Image Security