Fuzzy Logic Based Parallel Data Embedding Technique for Image Steganography

High quality steganography is one of means of storing secured data. Many techniques follow serial embedding, which takes more time to embed data. The goal of this paper is to deals with high payload capacity and good imperceptibility of the stego image with less execution time. To achieve this goal, Fuzzy Inference System (FIS) is integrating with the Human Visual System (HVS). Both mamdani and sugenotype of FIS is used for embedding. Blocks are embedded in parallel instead of sequential operations as it reduces the embedding time. The proposed system the embedding time is reduced by 10% to 15% as compared to serial embedding time. Using mamdani and sugeno algorithm the peak signal to noise ratio obtained is 52dB when all the pixels of cover image are used for embedding.