Andrew Rudder

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In this paper, we propose a novel reversible steganographic technique to embed secret data into digital images compressed using vector quantization (VQ). The proposed method is based on joint neighboring and predictive coding. The proposed technique can embed n secret bits into one VQ index, where n = 1, 2, 3, and 4. Our method uses left and upper(More)
In this paper, we propose a reversible data hiding method in the spatial domain for compressed grayscale images. The proposed method embeds secret bits into a compressed thumbnail of the original image by using a novel interpolation method and the Neighbour Mean Interpolation (NMI) technique as scaling up to the original image occurs. Experimental results(More)
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