PSNR and MSE based investigation of LSB

This paper provide the detail study of LSB Steganography method and analyzes the PSNR and MSE of LSB data hiding technique on the basis of different message sizes i.e 2KB, 4KB, 8KB in different 256*256 gray scale images in spatial domain. Also a investigation of 128*128 on 1KB and 2KB are given. The proposed LSB scheme takes the first LSB bit of the gray scale image and first message bit from the message matrix and embeds the message into the original image. After insertion of first message bit, pixel location of image and message is incremented by one. This process continuous itself till the message length is not equal to zero. After insertion of 2KB, 4KB and 8KB data in various gray images their PSNR and MSE is obtained and analyzed and it shows that the PSNR is more for the small message and less in case of large message size. The MSE is less for small message size and more in case of large data size. The main purpose of this study is that it will provide a platform for the beginners who want to study in the field of information hiding and image steganography.

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

[2]  Lee-Ming Cheng,et al.  Hiding data in images by simple LSB substitution , 2004, Pattern Recognit..

[3]  Jamshid Shanbehzadeh,et al.  High Capacity Image Steganography Based on Genetic Algorithm and Wavelet Transform , 2012 .

[4]  Ja-Chen Lin,et al.  A simple and high-hiding capacity method for hiding digit-by-digit data in images based on modulus function , 2003, Pattern Recognit..

[5]  Sushil Jajodia,et al.  Exploring steganography: Seeing the unseen , 1998, Computer.

[6]  Sung Wook Baik,et al.  A novel magic LSB substitution method (M-LSB-SM) using multi-level encryption and achromatic component of an image , 2015, Multimedia Tools and Applications.

[7]  Mahdi Aziz,et al.  A cycling chaos-based cryptic-free algorithm for image steganography , 2015, Nonlinear Dynamics.

[8]  Ja-Chen Lin,et al.  Hiding data in images by optimal moderately-significant-bit replacement , 2000 .

[9]  Der-Chyuan Lou,et al.  Steganographic Method for Secure Communications , 2002, Comput. Secur..

[10]  Wen-Yuan Chen,et al.  Color image steganography scheme using DFT, SPIHT codec, and modified differential phase-shift keying techniques , 2008, Appl. Math. Comput..

[11]  Chin-Chen Chang,et al.  Finding optimal least-significant-bit substitution in image hiding by dynamic programming strategy , 2003, Pattern Recognit..

[12]  E. Chang,et al.  Grey level modification steganography for secret communication , 2004, 2nd IEEE International Conference on Industrial Informatics, 2004. INDIN '04. 2004.

[13]  Ja-Chen Lin,et al.  Image hiding by optimal LSB substitution and genetic algorithm , 2001, Pattern Recognit..

[14]  C.-C. Jay Kuo,et al.  Steganography in JPEG2000 compressed images , 2003, IEEE Trans. Consumer Electron..

[15]  Ki-Hyun Jung,et al.  Steganographic method based on interpolation and LSB substitution of digital images , 2014, Multimedia Tools and Applications.

[16]  Cheng-Hsing Yang,et al.  Adaptive Data Hiding in Edge Areas of Images With Spatial LSB Domain Systems , 2008, IEEE Transactions on Information Forensics and Security.

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

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

[19]  M. Hwang,et al.  Image steganographic scheme based on pixel-value differencing and LSB replacement methods , 2005 .