The main objective is to embed as large a signature data as possible into the host signal without causing any significant perceptual distortion in the embedded signal.
We present two adaptive hiding schemes, Entropy Thresholding (ET), and Selective Embedding in Coefficients (SEC) Scheme, developed in order to hide large volume of data into images, without causing perceptual distortion to the host image. more...
In this project, our goal is to develop methods for hiding information in images in a manner that is robust to printing and scanning. more...
We have designed a simple joint source-channel coding technique to achieve graceful improvement in the recovered image quality with milder attacks. The signature image is compressed efficiently (using JPEG) into a sequence of bits, which is hidden using the scheme described in the image-adaptive data-hiding project. more...
The widespread use of steanography inevitably leads to a need to detect hidden data. However, compared to steganography, steganalysis is still in its infancy. Our goal is to establish a solid framework for steganalysis, and design systems to detect state-of-the-art hiding systems. We are researching two approaches to accomplish this: 1) Hypothesis testing approach 2) Learning based approach. more...
Steganography is the art and science of communicating in such a way that the very existence of communication is not revealed to a third party. In order to communicate without being detected, the data-hider must obey following two conditions. more...
A simple approach for active image steganography is proposed that can successfully resist recent blind steganalysis methods, in addition to surviving JPEG compression attacks. The flipside is the reduced embedding rate which occurs while trying to guarantee secure steganography and robustness against detection. more...
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