Image steganography based on interval-valued intuitionistic fuzzy edge detection and modified LSB

The Internet is becoming increasingly popular as a communication channel. However, message transmissions via the Internet have some problems, such as information security, copyright protection, and so on. Therefore, we need a secure communication method to transmit messages via the Internet. Steganography is a technique that hides secret data into cover media by altering its most insignificant components, such that an unauthorized user will not be aware of the existence of the secret data. In recent years the development of artificial intelligence and fuzzy logic has started a new period in the whole science. The proposed scheme has taken into consideration the property that more information can be hidden into the edge areas rather than in the smooth areas. This scheme makes the use of interval-valued intuitionistic fuzzy edge detecting method as well as the modified LSB substitution method that causes the image quality and capacity to increase. The use of intuitionistic fuzzy sets not only improves the image quality, but it is also more accurate in detecting the edges and smooth areas. The proposed scheme is tested on different standard images with secret messages of various lengths. The experimental results show the ability of the proposed scheme.