Abstract
Steganography is the art of hiding secret data in a medium. The medium can be an image, video, or an audio file, which is intended to raise no suspicion. Steganography tools typically generate an identical cover image after concealing the secret data in the original image. In this paper, popular steganography tools that are implemented with different embedding algorithms have been compared based on empirical results. Firstly, a set of diverse cover and secret images has been selected as an input set. A number of image quality metrics are applied to the resulting images for comparison. It is found that OpenStego and S-Tools perform the best among seven steganography tools. This comparative analysis gives an insight into the problems and flaws of those tools. Implications for future research and software development for enhancing steganography tools are also discussed based on the experimentation results.
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