An image steganography method based on integer wavelet transform

This paper presents a novel approach for Image steganography based on Integer Wavelet Transform. In this method, the cover image is mapped to a specific frequency domain. Then in the obtained frequency domain, edge coefficients are classified based on their MSBs. The suggested method prevents changes in MSB in a way that receiver can extract the information without any mistakes. Considering the preformed classification, secret bits will be embedded in the frequency coefficients and then with the use of inverse transformation, stego image will be obtained. The most important features that our work obtained are good adaptation with human vision system and retrieval of data without error. Simulation results show that our proposed method has a good adaptation with human vision system (HVS) and outperforms in terms of PSPNR factors over recently published works.

[1]  Adi Shamir,et al.  A method for obtaining digital signatures and public-key cryptosystems , 1978, CACM.

[2]  Aboul Ella Hassanien,et al.  An image steganography algorithm using Haar Discrete Wavelet Transform with Advanced Encryption System , 2016, 2016 Federated Conference on Computer Science and Information Systems (FedCSIS).

[3]  Nameer N. El-Emam,et al.  New steganography algorithm to conceal a large amount of secret message using hybrid adaptive neural networks with modified adaptive genetic algorithm , 2013, J. Syst. Softw..

[4]  Javaid A. Sheikh,et al.  Data hiding in scrambled images: A new double layer security data hiding technique , 2014, Comput. Electr. Eng..

[5]  Andrew D. Ker.  Steganalysis of LSB matching in grayscale images , 2005, IEEE Signal Processing Letters.

[6]  R. Davis,et al.  The data encryption standard in perspective , 1978, IEEE Communications Society Magazine.

[7]  Arsham Abedini,et al.  Parallel Improved Pulse Coupled Neural Network Application for Edge Detection in Image Processing , 2017 .

[8]  Hamidreza Rashidy Kanan,et al.  A novel image steganography scheme with high embedding capacity and tunable visual image quality based on a genetic algorithm , 2014, Expert Syst. Appl..

[9]  Punam Bedi,et al.  Using PSO in a spatial domain based image hiding scheme with distortion tolerance , 2013, Comput. Electr. Eng..

[10]  Li Fan,et al.  Improving the embedding efficiency of weight matrix-based steganography for grayscale images , 2013, Comput. Electr. Eng..

[11]  Hassan Aghaeinia,et al.  A new robust image adaptive steganography method in wavelet domain , 2011, 2011 19th Iranian Conference on Electrical Engineering.

[12]  Tanveer J. Siddiqui,et al.  Robust image steganography technique based on redundant discrete wavelet transform , 2012, 2012 2nd International Conference on Power, Control and Embedded Systems.

[13]  J. Mielikainen.  LSB matching revisited , 2006, IEEE Signal Processing Letters.

[14]  Jiwu Huang,et al.  Edge Adaptive Image Steganography Based on LSB Matching Revisited , 2010, IEEE Transactions on Information Forensics and Security.

[15]  Yih-Kai Lin,et al.  A data hiding scheme based upon DCT coefficient modification , 2014, Comput. Stand. Interfaces.

[16]  Al-Sakib Khan Pathan,et al.  Mix column transform based on irreducible polynomial mathematics for color image steganography: A novel approach , 2014, Comput. Electr. Eng..

[17]  Anand Singh Jalal,et al.  LSB based non blind predictive edge adaptive image steganography , 2017, Multimedia Tools and Applications.

[18]  Chun-Hsien Chou,et al.  A perceptually tuned subband image coder based on the measure of just-noticeable-distortion profile , 1995, IEEE Trans. Circuits Syst. Video Technol..

[19]  Aboul Ella Hassanien,et al.  An image steganography algorithm using Haar Discrete Wavelet Transform with Advanced Encryption System , 2016, FedCSIS 2016.

[20]  Chin-Chen Chang,et al.  A steganographic scheme by fully exploiting modification directions , 2011, Expert Syst. Appl..

[21]  Andrew D. Ker.  A General Framework for Structural Steganalysis of LSB Replacement , 2005, Information Hiding.

[22]  Sorina Dumitrescu,et al.  Detection of LSB Steganography via Sample Pair Analysis , 2002, Information Hiding.

[23]  Ahmed Al-Ani,et al.  A steganography embedding method based on edge identification and XOR coding , 2016, Expert Syst. Appl..

[24]  Xinpeng Zhang,et al.  Efficient Steganographic Embedding by Exploiting Modification Direction , 2006, IEEE Communications Letters.

[25]  Nameer N. El-Emam.  New data-hiding algorithm based on adaptive neural networks with modified particle swarm optimization , 2015, Comput. Secur..