Problem statement: Steganography hides the very existence of a message so that if successful it generally attracts no suspicion at all. Using steganography, information can be hidden in carriers such as images, audio files, text files, videos and data transmissions. In this study, we proposed a new framework of an image steganography system to hide a digital text of a secret message. Approach: The main idea for this is to use enough number of bits from each pixel in an image (7-bits in this study) to map them to 26 alphabetic English characters ('a'…'z') with some special characters that are mostly using in writing a secret message. The main goal of this method, like any steganography techniques must do, is to hide a text of a secret message in the pixels of the image in such a manner that the human visual system is not able to distinguish between the original and the stego-image, but it can be easily performed by a specialized reader machine. Results: This method was implemented practically on different (long and short) messages and images. The carrier images that are used in the experiments of this research have no discernible change in it. Conclusion: The recorded experimental results showed that this proposed method can be used effectively in the field of steganography.

Abstract-Classic Least Significant Bit (LSB) steganography technique is the most used technique to hide secret information in the least significant bit of the pixels in the stego-image. This paper proposed a technique by splitting the secret message into set of segments, that have same length (number of characters), and find the best LSBs of pixels in the stego-image that are matched to each segment. The main goal of this technique is to minimize the number of LSBs that are changed when substituting them with the bits of characters in the secret message. This will lead to decrease the distortion (noise) that is occurred in the pixels of the stego-image and as result increase the immunity of the stego-image against the visual attack. The experiment shows that the proposed technique gives good enhancement to the Classic Least Significant Bit (LSB) technique.

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