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Image steganography is the art of hiding secret message in grayscale or colorimages. Easy detection of secret message for any state-of-art imagesteganography can break the stego system. To prevent the breakdown of the stegosystem data is embedded in the selected area of an image which reduces theprobability of detection. Most of the existing adaptive image steganographytechniques achieve low embedding capacity. In this paper a high capacityPredictive Edge Adaptive image steganography technique is proposed whereselective area of cover image is predicted using Modified Median Edge Detector(MMED) predictor to embed the binary payload (data). The cover image used toembed the payload is a grayscale image. Experimental results show that theproposed scheme achieves better embedding capacity with minimum level ofdistortion and higher level of security. The proposed scheme is compared withthe existing image steganography schemes. Results show that the proposed schemeachieves better embedding rate with lower level of distortion.

LSB Based Non Blind Predictive Edge Adaptive Image Steganography