A Combined Image Steganography Technique Based on Edge Concept & Dynamic LSB

Steganography is the art and science of hiding data. The secret message is hidden in such a way that the observer cannot detect any changes in the original image. In this paper, we proposed an efficient steganographic scheme to hide data over gray scale images. This scheme is based on the property of human eye, which is more sensitive to the change in the smooth area than the edge area using pixel value difference, beside employing the LSB substitution technique as a fundamental stage. The experimental results over greyscale images showed the ability of embedding high data capacity with preserving stego image quality. Efficiency of the model is evaluated using two metrics, the PSNR value as one of the evaluation metrics, and the data payload (capacity) as the second. Moreover, based on that the secret message is replaced with dynamic LSBs, our scheme can effectively resist several image steganalysis techniques.

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