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We propose a novel data hiding system where data is embedded in local non-overlapping regions in an image. To survive cropping, the encoder embeds the same data in multiple regions of fixed dimensions, while the decoder's challenge is to independently retrieve these regions. Salient feature points are computed on an image and the local regions are centered around them. To obtain non-overlapping regions,...
A common problem affecting most image resizing detection algorithms is that they are susceptible to JPEG compression. This is because JPEG introduces periodic artifacts, as it works on 8??8 blocks. We propose a novel yet counter intuitive technique to "denoise" JPEG images by adding Gaussian noise. We add a suitable amount of Gaussian noise to a resized and JPEG compressed image so that...
In this paper a masking based data hiding and image authentication technique (MDHIAT) has been proposed by embedding a message/image into a colour image. Bits from authenticating message/image are embedded in single bit position under each byte of the source image by choosing a standard 3 times 3 mask in row major order. Point of insertion of a bit is obtained by computing modulus operation of the...
Our recently introduced JPEG steganographic method called yet another steganographic scheme (YASS) can resist blind steganalysis by embedding data in the discrete cosine transform (DCT) domain in randomly chosen image blocks. To maximize the embedding rate for a given image and a specified attack channel, the redundancy factor used by the repeat- accumulate (RA) code based error correction framework...
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