In the past month we have studied various forms of image steganography .We have already written the code for lsb (least significant bit) method.
However this straightforward approach has the following problems-
1.The process is independent of the nature of the carrier image. i.e ,we do not identify the region having the most colour gradient for reducing distortion of the carrier image.
2.Because of non-randomness in the pixel values, the hidden message can be easily detected by very weak forms of steganalysis.
To remove the above, we plan to do the following-
1.Identification of boundary points (i.e. the points of high colour gradient)
2.Compression of the message to be encrypted(since the number of pixels available for hiding data is reduced by the above constraint, the size of the message needs to be as small as possible. In case of image data this can be accomplished by simply converting the image to gray scale thus achieving nearly 70% compression)
3.Randomizing the values of carrier pixels to make steganalysis difficult(incorporating key).
Tuesday, June 1, 2010
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