• DocumentCode
    703680
  • Title

    An innovative approach for pattern based image steganography

  • Author

    Mani, M. Radhika ; Lalithya, V. ; Rekha, P. Swetha

  • Author_Institution
    Dept. of CSE, Pragati Eng. Coll., Surampalem, India
  • fYear
    2015
  • fDate
    19-21 Feb. 2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Currently, image steganography methods are becoming popular in the field of data authentication and image processing. This provides efficient way of communication between sender and receiver without any loss in the originality of the cover image. So, the present paper proposes a novel method called as pattern based image steganography. The proposed method allows the sender to embed the secret message into hierarchical divided sub sections. During the first stage, the input cover image is divided into 25×25 non overlapped windows. Then further each window is divided into 5×5 sub sections. Then among them, the sub sections will be selected based on the pattern `Z´. Next, in the second stage, within each selected 5×5 sub section, the pixels will be selected based on the pattern `a´. Finally, in the selected pixels, 1 bit Least Significant Method (LSB) is used for embedding the message. The proposed method is experimented with nine cover images and the performance of the proposed method is measured with several measures viz., Mean Square Error(MSE), Mean Absolute Error(MAE), Root Mean Square Error(RMSE), Peak Signal to Noise Ratio(PSNR), Signal to Noise Ratio(SNR). The results show the effeciency of the proposed method.
  • Keywords
    image processing; mean square error methods; steganography; LSB; MAE; PSNR; RMSE; cover image; data authentication; hierarchical divided sub sections; image processing; image steganography methods; least significant method; mean absolute error; nonoverlapped windows; pattern based image steganography; peak signal to noise ratio; root mean square error; secret message; Computed tomography; Cryptography; Magnetic resonance imaging; Receivers; Robustness; Signal to noise ratio; Cover image; Pattern; Performance Measure; Stego image; window;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, Informatics, Communication and Energy Systems (SPICES), 2015 IEEE International Conference on
  • Conference_Location
    Kozhikode
  • Type

    conf

  • DOI
    10.1109/SPICES.2015.7091380
  • Filename
    7091380