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Improvements of image-steganalysis using boosted combinatorial classifiers and gaussian high pass filtering

Asadi, N ; Sharif University of Technology | 2008

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  1. Type of Document: Article
  2. DOI: 10.1109/IIH-MSP.2008.152
  3. Publisher: 2008
  4. Abstract:
  5. Powerful universal steganalyzers were proposed in the literature during the past few years. In addition some studies have been conducted on improvements of current steganalysis results using information fusion techniques, merging available feature vectors, etc. This paper presents two independent ideas, which can be used together, to obtain higher accuracy in detecting stego images. First, we propose the use of boosted fusion methods to aggregate outputs of multiple steganalyzers. Second, we investigate how passing high frequencies through filtering can enhance the results of steganalysis techniques. In this work, it is shown that, through different tests over the state-of-the-art steganography algorithms, an increase in detection accuracy is achieved by using the proposed new ideas. © 2008 IEEE
  6. Keywords:
  7. Boosting algorithms ; Fusion techniques ; Gaussian filtering ; Steganalysis ; Steganography ; Agglomeration ; Cryptography ; Data fusion ; Signal processing ; Trellis codes ; Fusion reactions
  8. Source: 2008 4th International Conference on Intelligent Information Hiding and Multiedia Signal Processing, IIH-MSP 2008, Harbin, 15 August 2008 through 17 August 2008 ; 2008 , Pages 1508-1511 ; 9780769532783 (ISBN)
  9. URL: https://ieeexplore.ieee.org/abstract/document/4604327