DocumentCode :
3767802
Title :
Segmentation and block based image steganography using optimal pixel adjustment process and identical approach
Author :
Swarnjeet Kaur;Navdeep Goel
Author_Institution :
ECE Section, Yadavindra College of Engineering, Punjabi University Guru Kashi Campus, Talwandi Sabo 151302, India
fYear :
2015
Firstpage :
1
Lastpage :
5
Abstract :
Steganography plays a very important role in secret communication. Many possible techniques are used to embed confidential information in digital images, the least significant bit (LSB) technique has very widely used. However, maintaining the imperceptibility is still a major concern. In the proposed method, a hybrid approach of data hiding is used, in which a hybrid method of data hiding using optimal pixel adjustment process (OPAP) and identical matching has been used. Also, to make the algorithm more imperceptible data is divided into segments and image into blocks and a data segment is embedded into an image block where it effects the least image quality. The experimental results prove that the quality of stego image using the proposed algorithm has been improved over existing conventional methods of data hiding. For the verification of the results, peak signal-to-noise (PSNR) and mean square error (MSE) are calculated. The PSNR value for the proposed method yields approximately of 14 dB enhancement.
Keywords :
"Pediatrics","Image segmentation","Data mining"
Publisher :
ieee
Conference_Titel :
Recent Advances in Engineering & Computational Sciences (RAECS), 2015 2nd International Conference on
Type :
conf
DOI :
10.1109/RAECS.2015.7453372
Filename :
7453372
Link To Document :
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