Non Embedding Steganography using Average Technique in Transform domain

In this paper we propose Non Embedding Steganography using Average Technique in Transform domain (NESATT). The Lifting Wavelet Transform (LWT) is applied on both cover image and payload image. The Diagonal band (CD) of cover image and Approximation band (PA) of payload are segmented into N × N blocks. The PA band of payload is divided by CD to generate resultant matrix based on Non Embedding Threshold Value (NETV) fixed by key. The average value of resultant matrix is calculated and used to divide PA to generate modified CD. The average value of each blocks are scale downed by key and embedded into corresponding block of Horizontal band (CH) of cover image. The inverse LWT is applied on stego object to derive stego image 1. The Peak Signal to Noise Ratio (PSNR) is computed between cover image and stego image 1 for different NETV values till maximum PSNR is obtained and the corresponding stego image is considered as final stego image. The capacity and PSNR values are high in the case of proposed algorithm compared to existing algorithms since non embedding technique is used in transform domain.

[1]  R. Bhavani,et al.  A modified secure digital image steganography based on Discrete Wavelet Transform , 2012, 2012 International Conference on Computing, Electronics and Electrical Technologies (ICCEET).

[2]  A. E. S. Hafez,et al.  A new chaos steganography algorithm for hiding multimedia data , 2012, 2012 14th International Conference on Advanced Communication Technology (ICACT).

[3]  Olivier Déforges,et al.  Enhanced Adaptive Data Hiding in Spatial LSB Domain by using Chaotic Sequences , 2012, 2012 Eighth International Conference on Intelligent Information Hiding and Multimedia Signal Processing.

[4]  Tung-Shou Chen,et al.  A Novel Data Embedding Method Using Adaptive Pixel Pair Matching , 2012, IEEE Transactions on Information Forensics and Security.

[5]  A. Kumar,et al.  Colour Image Steganography Based on Modified Quantization Table , 2012, 2012 Second International Conference on Advanced Computing & Communication Technologies.

[6]  Shi-Jinn Horng,et al.  Multi-bit Adaptive Embedding Algorithm for Anti-forensic Steganography , 2012, 2012 International Symposium on Biometrics and Security Technologies.

[7]  A. Nag,et al.  An image steganography technique using X-box mapping , 2012, IEEE-International Conference On Advances In Engineering, Science And Management (ICAESM -2012).

[8]  K. B. Shiva Kumar,et al.  Coherent steganography using Segmentation and DCT , 2010, 2010 IEEE International Conference on Computational Intelligence and Computing Research.

[9]  T. Narasimmalou,et al.  Discrete Wavelet Transform based steganography for transmitting images , 2012, IEEE-International Conference On Advances In Engineering, Science And Management (ICAESM -2012).

[10]  D. Levicky,et al.  Histogram secure steganography system in JPEG file based on modulus function , 2012, Proceedings of 22nd International Conference Radioelektronika 2012.

[11]  Gabriel Bugar,et al.  A novel method of image steganography in DWT domain , 2011, Proceedings of 21st International Conference Radioelektronika 2011.

[12]  Samaneh Ghandali,et al.  A secure joint wavelet based steganography and secret sharing method , 2011, 2011 7th International Conference on Information Assurance and Security (IAS).