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To provide an added security level most of the existing reversible as well asirreversible image steganography schemes emphasize on encrypting the secretimage (payload) before embedding it to the cover image. The complexity ofencryption for a large payload where the embedding algorithm itself is complexmay adversely affect the steganographic system. Schemes that can induce samelevel of distortion, as any standard encryption technique with lowercomputational complexity, can improve the performance of stego systems. In thispaper we propose a secure secret image sharing scheme, which bears minimalcomputational complexity. The proposed scheme, as a replacement for encryption,diversifies the payload into different matrices which are embedded into carrierimage (cover image) using bit X-OR operation. A payload is a grayscale imagewhich is divided into frequency matrix, error matrix, and sign matrix. Thefrequency matrix is scaled down using a mapping algorithm to produce DownScaled Frequency (DSF) matrix. The DSF matrix, error matrix, and sign matrixare then embedded in different cover images using bit X-OR operation betweenthe bit planes of the matrices and respective cover images. Analysis of theproposed scheme shows that it effectively camouflages the payload with minimumcomputation time.

Secret Image Sharing Using Grayscale Payload Decomposition and Irreversible Image Steganography