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Erschienen in:
2020 | OriginalPaper | Buchkapitel
An Efficient Approach for Image Encryption Using Zigzag, Arnold Transformation and Double Random-Phase Encoding in Fractional Fourier Transform Domain
verfasst von : Anmol Mathur, Dr. Ajay Khunteta, Atul Kumar Verma
Erschienen in: Microservices in Big Data Analytics
Verlag: Springer Singapore
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Abstract
Data security is one of the dominant essential problems these days where data is delivered from one to other location with fast values. Image encryption is the technique of encoding image in like a way that detectives or hackers cannot understand it, but that permitted groups can. In this work, we have proposed an efficient approach of image encryption with the help of combination of Arnold cat map, zigzag transformation and pixel scrambling technology in fractional Fourier transform and compared with the previous existing techniques. Some performance parameters such as peak signal-to-noise ratio (PSNR), mean squared error (MSE) and normalized cross-correlation are also measured. All the simulations are carried out in MATLAB simulation tool.