Image steganography Based on Chaos Permutation, Authentication and Wiener Deconvolution

Abstract

Image steganography refers to hiding a secret image into another meaningful one. Researchers have employed different algorithms such as wavelet transform, discrete cosine transform functions to transform secret image and different image processing algorithms like image encryption utilized to reach better stego images in case of imperceptibility and robustness. In most of researches, higher robustness methods have lower impeccability and vice versa. In this paper, we propose an adaptive LSB method using chaos permutation, DCT, and secret image authentication to increase both imperceptibility and robustness. Chaos permutation is a key feature in our work to improve the robustness of secret image against attacks and wiener filter deconvolution is employed to extract a clear secret image in receiver side, which has the lowest noise in comparison with the original secret image. The improvement of our proposed method have been analyzed and evaluated by different criteria such as PSNR, SSIM and Histogram plots.