Research on the Improvement of LSB-based Image Steganography Algorithm
DOI:
https://doi.org/10.54097/ajst.v5i3.8017Keywords:
LSB algorithm improvement, Randomly generated sequences, Information embedding, PSNR values, Pretzel-plus-noise attack.Abstract
This study has made an improvement based on the LSB algorithm, which uses a randomly generated sequence for embedding information, with an implementation environment of Python and a combination of OpenCV By analyzing the embedded data with PSNR values and pretzel-plus-noise attacks, the results show that this method has better image quality and stronger resistance to attacks, while the complexity of extracting the embedded information by external users is high. The improved LSB algorithm in this study has great reference value for information covert transmission, and can be used for image copyright protection and privacy information protection in practical applications.
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Sun Mei,Pei Jianhang. Performance analysis of commonly used digital watermarking techniques under attack[J]. Journal of Baicheng Normal College,2023,37(02):46-58.
Shi Xianzhuo,Li Yuandan,He Dan et al. An improved algorithm for steganography based on LSB grayscale image information[J]. Information and Computer(Theory Edition), 2019, 31(21):62-64.
Yin Hao, Liu Bingxing. Digital watermarking copyright protection technology based on two-dimensional Fourier transform [J]. Electronic Technology and Software Engineering, 2021, No.200(06):110-111.
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