Imon Mukherjee

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Steganography plays an important role to hide data in apparently innocuous media (e.g., image, audio, video, text, etc.). Since most of the steganographic algorithms do not consider the image content while locating the message bearing pixels, in most occasions, they are bound to defeat against visual, structural and statistical attacks. We distribute the(More)
—Sterilization is a very popular word used in biomedical testing (like removal of all microorganisms on surface of an article or in fluid using appropriate chemical products). Motivated by this biological analogy, we, for the first time, introduce the concept of sterilization of an image, i.e., removing any steganographic information embedded in the image.(More)
— Image sterilization is the process of removing steganographic information embedded in digital images. The only work known in this area is targeted to LSB-based steganography algorithm. In this paper, we extend the idea to sterilize two least significant bits of pixel intensities. The technique does not need to know how the information has been embedded(More)
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