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Impulse Technologies
                                      Beacons U to World of technology
        044-42133143, 98401 03301,9841091117 ieeeprojects@yahoo.com www.impulse.net.in
       Targeted Steganalysis of Edge Adaptive Image Steganography
         Based on LSB Matching Revisited Using B-Spline Fitting
   Abstract
          In this letter, the authors point out that the readjusting phase of edge adaptive
   image steganography based on LSB matching revisited introduces a pulse distortion to
   the long exponential tail of the histogram of the absolute difference of the pixel pairs.
   Making use of this observation, a targeted steganalytic method based on B-Spline fitting
   is proposed. Experimental results show that the proposed method obtains excellent results
   for detecting stego images with low embedding rate. The dominant performance of our
   method compared with state-of-the-art blind steganalyzers, such as SPAM and SRM is
   apparent. Furthermore, our method can accurately estimate the threshold used in the
   secret data embedding procedure and can separate the stego images with unit block size
   from those with block sizes greater than one.




  Your Own Ideas or Any project from any company can be Implemented
at Better price (All Projects can be done in Java or DotNet whichever the student wants)
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  • 1. Impulse Technologies Beacons U to World of technology 044-42133143, 98401 03301,9841091117 ieeeprojects@yahoo.com www.impulse.net.in Targeted Steganalysis of Edge Adaptive Image Steganography Based on LSB Matching Revisited Using B-Spline Fitting Abstract In this letter, the authors point out that the readjusting phase of edge adaptive image steganography based on LSB matching revisited introduces a pulse distortion to the long exponential tail of the histogram of the absolute difference of the pixel pairs. Making use of this observation, a targeted steganalytic method based on B-Spline fitting is proposed. Experimental results show that the proposed method obtains excellent results for detecting stego images with low embedding rate. The dominant performance of our method compared with state-of-the-art blind steganalyzers, such as SPAM and SRM is apparent. Furthermore, our method can accurately estimate the threshold used in the secret data embedding procedure and can separate the stego images with unit block size from those with block sizes greater than one. Your Own Ideas or Any project from any company can be Implemented at Better price (All Projects can be done in Java or DotNet whichever the student wants) 1