journal article·2022-04-21Open access

Image Watermarking Scheme Using LSB and Image Gradient

Zaid Bin Faheem, Mubashir Ali, Muhammad Ahsan Raza, Farrukh Arslan, Jehad Ali, Mehedi Masud, Mohammad Shorfuzzaman

Applied Sciences· Volume 12· Issue 9

Abstract

In the modern age, watermarking techniques are mandatory to secure digital communication over the internet. For an optimal technique, a high signal-to-noise ratio and normalized correctional is required. In this paper, a digital watermarking technique is proposed on the basis of the least significant bit through an image gradient and chaotic map. The image is segmented into noncorrelated blocks, and the gradient of each block is calculated. The gradient of the image expresses the rapid changes in an image. A chaotic substitution box (S-Box) is used to scramble the watermark according to a piecewise linear chaotic map (PWLCM). PWLCM has a positive Lyapunov exponent and better balance property as compared to other chaotic maps. This S-Box technique is capable of producing a disperse sequence with high nonlinearity in the generated sequence. Least significant bit is a simple technique for embedding but it has a high payload capacity and direct pixel manipulation. The embedding payload introduces a tradeoff between robustness and imperceptibility; hence, the image gradient is a technique to identify the best-suited place to embed a watermark and avoid image degradation. By modifying the least significant bits of the original image, the watermark signal is embedded according to the image gradient. In the image gradient, the direction and magnitude decide how much embeding can be done. In comparison with other methods, the experimental results show satisfactory progress in robustness against several image processing and geometrical attacks while maintaining the imperceptibility of the watermark signal.
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Research context

OpenAlex topics: Advanced Steganography and Watermarking Techniques · Chaos-based Image/Signal Encryption · Digital Media Forensic Detection

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Computer Engineering, University of Engineering & Technology, Taxila 47080, Pakistan

Department of Software Engineering, Lahore Garrison University, Lahore 54000, Pakistan

Department of Information Technology, Bahauddin Zakariya University, Multan 60000, Pakistan

Department of Electrical Engineering, University of Engineering and Technology, Lahore 54000, Pakistan

Department of Computer Engineering and Department of AI Convergence Network, Ajou University, Suwon 16499, Korea

Department of Computer Science, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia

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