DocumentCode
3078066
Title
Information secured by the guidance of salt and pepper noise
Author
Jayaseelan, J. ; Kruthika, B.
Author_Institution
Parisutham Inst. of Technol. & Sci., Affiliated to Anna Univ., Chennai, India
fYear
2013
fDate
26-28 Dec. 2013
Firstpage
1
Lastpage
5
Abstract
Steganography is the information hiding technique; here the secret data is embedded into the carrier medium. Usually carrier medium is image, audio or video. In this paper image is used as the carrier medium referred as cover image and text data is embedded into this, after embedding it is referred as stego image. In an existing spatial domain approaches different methods such as pixel indicator, random bit embedding, Zigzag embedding techniques etc are used. On all these techniques data is embedded into the least significant bits (LSB) of every pixel, because it reduces the difference between the cover image and stego image instead of embedding into the MSBs. In our proposed approach, secret data is embedded into the LSBs of cover image as like existing. But instead of present available techniques, salt & pepper noise is used to guide the embedding positions of secret data. Salt & Pepper noise is added into the copy of cover image at defined density and it is referred as reference image. The added portion of salt changes the pixel values into zero and Pepper changes the pixel values into maximum intensity value. Based on the changes in reference image, different bit of secret data is embedding into the corresponding pixels of cover image. The performance of this technique is analyzed by using PSNR, MSE performance metrics.
Keywords
image coding; steganography; LSB; MSB; MSE performance metrics; PSNR performance metrics; Zigzag embedding techniques; carrier medium; cover image; embedding positions; information hiding technique; information security; least significant bits; pixel indicator; random bit embedding; reference image; salt and pepper noise; secret data; steganography; stego image; text data; Computational intelligence; Conferences; MATLAB; Noise measurement; PSNR; LSB; Noise; Reference image; Salt & pepper;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Computing Research (ICCIC), 2013 IEEE International Conference on
Conference_Location
Enathi
Print_ISBN
978-1-4799-1594-1
Type
conf
DOI
10.1109/ICCIC.2013.6724178
Filename
6724178
Link To Document