Improved least significant bit algorithm based on RS-code

Jiamu Xu

doi:10.1117/12.2659479

22 November 2022 Improved least significant bit algorithm based on RS-code

Jiamu Xu

Proceedings Volume 12475, Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022); 124751I (2022) https://doi.org/10.1117/12.2659479
Event: Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022), 2022, Hulun Buir, China

Abstract

As a widely applied data hiding method, least significant bit (LSB) algorithm is a spatial steganography which uses the lowest bits of each pixel’s grayscale value to hide messages. In spite of its high capacitance, high load rate and imperceptibility is remarkable, the lack of robustness is the fatal problem which prevents the LSB algorithm’s further application. This paper proposes a new high-robustness LSB method based on the Reed-Solomon (RS) code and provides higher immunity of attack with slight cost of imperceptibility and capacity. This algorithm exploits the considerable error correction ability of RS-code to encode the watermark message before embedding them to the carrier image. Despite the size of the encoded message increases times to the original, this method makes self-correction of encrypted images feasible, which would provide more superiority among the algorithms that require carrier image as reference to extract watermark message. This paper provides the testing results of the LSB algorithm based on RS-code in Matlab and verifies the immunity of both the proposed method and original method against noise and rotation attack, and finally determines that this algorithm is able to substantially enhance the robustness of encrypted image under a certain range of noise density.

Citation Download Citation

Jiamu Xu "Improved least significant bit algorithm based on RS-code", Proc. SPIE 12475, Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022), 124751I (22 November 2022); https://doi.org/10.1117/12.2659479

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KEYWORDS

Digital watermarking

Steganography

Data hiding

Image encryption

Capacitance

Discrete wavelet transforms

Image enhancement

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