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A method for image steganography based on chaotic maps and advanced compression algorithms

Authors :

Mohammad Yousefi Sorkhi¹

1- shahid beheshti university

Keywords :

Image Steganography،Chaotic Maps،Data Compression،Information Security،Structural Similarity Index - SSIM

Abstract :

In this article, we present a new method for text steganography in images using chaotic maps and advanced compression algorithms. Our method employs the hybrid tent map to generate chaotic sequences, enhancing security and complexity in the steganography process. For data compression, we utilize a combination of Burrows-Wheeler Transform (BWT), Move-To-Front (MTF) coding, and arithmetic coding, which reduces data size and improves efficiency. Evaluation using 10 images from the USC-SIPI Image Database, based on PSNR, MSE, SSIM, and BER metrics, showed our method achieving an average PSNR of 40.19 dB, MSE of 0.0018, SSIM of 0.975, and BER of 0.0016, outperforming three other methods. These results demonstrate higher image quality, better preservation of original structures, and greater accuracy in text retrieval, indicating our method's high security and efficiency for text steganography in images.

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