Convergence between fuzzy logic and steganography for high payload data embedding and more security

Steganography is the science and art of concealing data into common form of information. The private data is hidden so that unauthorized access to its content is prevented. There are rules for this action; The least significant bit (LSB) substitution is a well-known mechanism for implementation of steganography technique. It simply embeds data by replacing the LSBs of the image pixels and the human visual system (HVS) would be unable to sense that. In this regard, either loosely or lossless techniques may be applied for embedding data. Although loosely methods provide large hiding capacity, host files cannot be recovered completely via these methods. In some applications host images need to be recovered actually and completely such as medical reports in which data must be embedded without any change in image size in extracting phase. In this paper, we propose a hybrid edge detection method consisted of Canny Edge Detection (CED) and Fuzzy Edge Detection (FED). The experimental results prove that the proposed scheme not only achieves high embedding capacity, and increases the quality of the stego image from the HVS by embedding data in edge areas but also it can effectively resist the image steganalysis.