Payload Enhancement on Least Significant Bit Image Steganography Using Edge Area Dilation

This research proposes a method to enhance the payload message by embedding messages on the dilated edge areas by the Least Significant Bit (LSB) method. To add security aspects to messages, messages are not embedded directly on the LSB but encrypted with XOR operations with Most Significant Bit (MSB). The experimental results of the test in this study showed that the dilation process to some extent can increase the payload of 18.65% and the average bpp is 1.42 while maintaining the imperceptibilty quality of stego image with an average PSNR value of about 47 dB, SSIM is 0.9977 and MSE is 1.13.

[1]  Krasimir Kordov,et al.  Least Significant Bit Steganography using Hitzl-Zele Chaotic Map , 2017 .

[2]  Eko Hari Rachmawanto,et al.  A performance analysis StegoCrypt algorithm based on LSB-AES 128 bit in various image size , 2017, 2017 International Seminar on Application for Technology of Information and Communication (iSemantic).

[3]  Eko Hari Rachmawanto,et al.  Simple and secure image steganography using LSB and triple XOR operation on MSB , 2018, 2018 International Conference on Information and Communications Technology (ICOIACT).

[4]  Amit Pundir,et al.  A robust algorithm for morphological, spatial image-filtering and character feature extraction and mapping employed for vehicle number plate recognition , 2017, 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET).

[5]  Candra Irawan,et al.  Hiding and securing message on edge areas of image using LSB steganography and OTP encryption , 2017, 2017 1st International Conference on Informatics and Computational Sciences (ICICoS).

[6]  Weiqing Wang,et al.  Reversible data hiding scheme based on significant-bit-difference expansion , 2017, IET Image Process..

[7]  Patrick J. Flynn,et al.  An optimal strategy for dilation based iris image enrollment , 2014, IEEE International Joint Conference on Biometrics.

[8]  Milan Tuba,et al.  Edge detection in medical ultrasound images using adjusted Canny edge detection algorithm , 2016, 2016 24th Telecommunications Forum (TELFOR).

[9]  Kazuhiko Hamamoto,et al.  A robust and flexible license plate detection method , 2014, 2014 International Conference on Advanced Technologies for Communications (ATC 2014).

[10]  Eko Hari Rachmawanto,et al.  A Good Performance OTP Encryption Image based on DCT-DWT Steganography , 2017 .

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

[12]  Jumanto Jumanto,et al.  An Enhanced LSB-Image Steganography Using the Hybrid Canny-Sobel Edge Detection , 2018, Cybernetics and Information Technologies.

[13]  Nitin Jain,et al.  Image Steganography Using LSB and Edge - Detection Technique , 2012 .

[14]  Phalguni Gupta,et al.  Edge-based image steganography , 2014, EURASIP J. Inf. Secur..

[15]  Eko Hari Rachmawanto,et al.  An imperceptible LSB image hiding on edge region using DES encryption , 2017, 2017 International Conference on Innovative and Creative Information Technology (ICITech).

[16]  Gandharba Swain,et al.  Digital Image Steganography Using Bit Flipping , 2018 .

[17]  P. Shukla,et al.  Robust Medical Image Authentication using 2-D Stationary Wavelet Transform and Edge Detection , 2017 .

[18]  Eko Hari Rachmawanto,et al.  Robust and imperceptible image watermarking by DC coefficients using singular value decomposition , 2017 .

[19]  Bikrampal Kaur,et al.  2-D geometric shape recognition using canny edge detection technique , 2016, 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom).