SSDIS-BEM: A New Signature Steganography Document Image System based on Beta Elliptic Modeling

SSDIS-BEM: A New Signature Steganography Document Image System based on Beta Elliptic Modeling

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In this paper, a New Signature Steganography Document Image system based on Beta Elliptic Modeling is proposed, in the purpose of hiding the Beta Elliptic signature as a serra avatar price secret data into the host document image.The system is sub-divided into two main blocks: steganography embedding and steganography extraction.The Binary Robust Invariant Scalable Keypoints (BRISK) detector is applied to identify the embedding positions in the host document image.The Beta Elliptic signature is converted into a sequence of secret bits through the signature prepossessing.The prepossessing is composed of: Binary Transformation and Huffman Compression.

The obtained sequence is added in the first Least Significant Bit (LSB) of the embedding positions in the host document image.The achieved experimental results on three types of benchmarks, Tobacco800, L3iDocCopies, and Standard grayscale test images, indicated that we have outperformed related works solutions in terms of Structural Similarity Index Matrix (SSIM), Peak Signal to Noise Ratio icon track bar f250 (PSNR), and Human Visual System (HSV).