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  • 标题:Comparative Analysis of Wavelet Filters on Hybrid Transform Domain Image Steganography Techniques
  • 本地全文:下载
  • 作者:Mukta Goel ; Rohit Goel
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2013
  • 卷号:3
  • 期号:8
  • 出版社:S.S. Mishra
  • 摘要:Steganography is an important area of research in recent years involving a number of applications. Image steganography is the art of hiding secret information into a cover image. The modern secure image steganography presents a challenging task of transferring the embedded information to the destination without being detected. Transform domain methods hide messages in insensitive areas of the cover image which makes them more robust to attacks. DCT/DWT is used to transform cover image from spatial domain to frequency domain. The secret image or information is then embedded into the frequency domain coefficients. Different wavelet filters can be used for embedding secret image in these frequency components. This paper compares hybrid transform domain techniques for different Wavelet filters for embedding secret image into cover image. The algorithms are compared for Peak Signal to Noise Ratio (PSNR) which is a measure of the difference between the cover image and the stego image
  • 关键词:Image Steganography; Discrete Cosine Transform (DCT); Discrete Wavelet Transform (DWT); Least ;Significant Bit (LSB); Coiflet filter (coif)1; Symmlet (sym2).
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