A Robust Steganography Algorithm Based on Curvelet Transform

Steganography is a latin word for “covert writing”. In the past two decades, steganography is widely used for hiding secret information in digital media, e.g. image, audio and text. There are two main categories of steganographic methods. The ones that hide information in the original domain and those which employ a transform representation of input cover media. In this paper, images are used as cover. It has been empirically proved that on average, transform-based algorithms provide higher security and robustness comparing to their equivalent spatial domain counterparts; The proposed steganographic algorithm utilizes features from the curvelet transform for hiding message and has been tested curvelet security and robustness benchmarks, that due to the 2D nature of its asymmetric kernels, has potential of tolerate online robustness attacks which has been confirmed experimentally.