• DocumentCode
    1637202
  • Title

    Image Hiding with an Improved Genetic Algorithm and an Optimal Pixel Adjustment Process

  • Author

    Tseng, Lin-yu ; Chan, Yung-Kuan ; Ho, Yu-An ; Chu, Yen-Ping

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Chung Hsing Univ., Taichung
  • Volume
    3
  • fYear
    2008
  • Firstpage
    320
  • Lastpage
    325
  • Abstract
    Image hiding techniques embed a secret image into a cover image. The fusion of the two, called a stego- image, fools grabbers who would not be conscious of the differences between the cover image and. the stego- image. A secret image can be transferred safely using this technique. In general, we would disarrange each pixel in the secret image and adjust all of them to form a suitable string of bits that could be embedded. Then these bits are embedded into the cover image in corresponding places, and this image would become a stego-image that hides secret data. This paper suggests a new image disarranging technique. It uses an improved genetic algorithm and an Optimal Pixel Adjustment Process, OPAP, to enhance the quality of a Stego-image. Experimental results show that a stego- image is indistinguishable from the cover-image. The stego-image can embed 4 bits per pixel, and the mean- square error of a stego-image is much lower than results for previous methods.
  • Keywords
    genetic algorithms; image processing; steganography; genetic algorithm; image hiding; optimal pixel adjustment process; stego-image; Computer hacking; Computer science; Cryptography; Design engineering; Genetic algorithms; Genetic engineering; Humans; Image quality; Internet; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications, 2008. ISDA '08. Eighth International Conference on
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-0-7695-3382-7
  • Type

    conf

  • DOI
    10.1109/ISDA.2008.235
  • Filename
    4696483