Presentation + Paper
21 August 2020 Asymmetric color image encryption using singular value decomposition and chaotic Tinkerbell map in fractional Fourier domain
Jaideep Kumar, Phool Singh, A. K. Yadav
Author Affiliations +
Abstract
An asymmetric single-channel color-image cryptosystem is presented that uses singular value decomposition and Tinkerbell map in the fractional Fourier domain. The input image is split into red, green, and blue channels. The red component is used as plaintext, and green and blue components are used as phase masks in the cryptosystem. MATLAB is used for computations of results presented in this paper. The proposed cryptosystem is validated for color images of size 256 × 256 × 3 pixels. The analysis of the attacks establishes the scheme’s resistance to occlusion and noise attack, and the key-space is big enough to endure a brute-force attack. The analysis based on the correlation distribution of neighboring pixels, along with statistical analysis has been performed to examine the efficacy of the cryptosystem. The results indicated high levels of security possessed by the proposed encryption scheme.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jaideep Kumar, Phool Singh, and A. K. Yadav "Asymmetric color image encryption using singular value decomposition and chaotic Tinkerbell map in fractional Fourier domain", Proc. SPIE 11509, Optics and Photonics for Information Processing XIV, 115090C (21 August 2020); https://doi.org/10.1117/12.2568447
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KEYWORDS
Image encryption

Fractional fourier transform

Image restoration

Image processing

Computer security

Statistical analysis

3D image processing

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