The 7th International Conference on Next Generation Computing 2021 (2021.11)바로가기
페이지
pp.74-80
저자
Zaid Bin Faheem, Sana Hameed, Misbah Naveed, Naveed Imran, Zubair Shoukat, Mubashir Ali
언어
영어(ENG)
URL
https://www.earticle.net/Article/A448013
원문정보
초록
영어
Watermarking techniques are mandatory to secure digital communication. For optimal technique, a high signal to noise ratio and normalized correctional is required. In this paper, a method that belongs to digital watermarking is proposed based on chaotic map through image gradient and least significant bit. The image is segmented into un-correlated blocks and calculate the gradient of each block. The gradient of the image expresses the rapid changes in an image. When watermark used chaotic substitution box (S-Box), it scrambled based on piecewise linear chaotic map (PWLCM). PWLCM has positive Lyapunov exponent and better balance property as compare to other chaotic map. This suggested s-box technique is capable to produce dispersive sequence with high nonlinearity in the generated sequence. By modifying the least significant bits of the original image the watermark signal is embedded based on the image gradient. Image block gradient ,direction and magnitude decide how much embeding can be done. The embedding payload compromises between robustness and imperceptibility. By the reverse operation, a watermarked image is obtained. In comparison with other methods, experimental results show satisfactory progress in robustness against several image processing and geometrical attacks while maintaining the imperceptibility of the watermark signal.
목차
Abstract I. INTRODUCTION II. PRELIMINARIES A. Image Gradient B. Least Significant Bit Embedding C. Piecewise Linear Chaotic Map D. Chaotic Substitution Box III. METHODOLOGY A. Watermarking Scheme B. Watermark Embedding IV. EXPERIMENTAL RESULTS A. Perceptual Quality of Watermarked images B. Robustness of Watermarking Algorithm C. Comparison With Other Paper V. CONCLUSION REFERENCES
키워드
Chaotic MapSubstitution BoxPiecewise Linear Chaotic MapLeast Significant BitImage Gradient.
저자
Zaid Bin Faheem [ Department of Computer Engineering University of Engineering & Technology, Taxila, Pakistan ]
Sana Hameed [ Department of Computer Science University of Central Punjab, Lahore, Pakistan ]
Misbah Naveed [ Department of Computer Science Bahauddin Zakariya University, Multan, Pakistan ]
Naveed Imran [ Department of Computer Science University of Central Punjab, Lahore, Pakistan ]
Zubair Shoukat [ Department of Computer Science COMSATS University Islamabad, Sahiwal, Pakistan ]
Mubashir Ali [ Department of Software Engineering Lahore Garrison University, Lahore, Pakistan ]