2018
DOI: 10.1080/02564602.2018.1533892
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Image Encryption Based on Block-wise Fractional Fourier Transform with Wavelet Transform

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Cited by 15 publications
(6 citation statements)
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“…To reduce time complexity, images can be encrypted using chaos and transformation techniques such as Discrete Cosine transform (DCT) and DWT [19][20][21][22][23][24][25][26][27][28]. In the past few years, chaos has played a vital role in image encryption due to its some unique features such as sensitivity in initial conditions, unpredictability, pseudo randomness, ergodicity, and non-deterministic behavior [29][30][31][32][33][34].…”
Section: Plos Onementioning
confidence: 99%
“…To reduce time complexity, images can be encrypted using chaos and transformation techniques such as Discrete Cosine transform (DCT) and DWT [19][20][21][22][23][24][25][26][27][28]. In the past few years, chaos has played a vital role in image encryption due to its some unique features such as sensitivity in initial conditions, unpredictability, pseudo randomness, ergodicity, and non-deterministic behavior [29][30][31][32][33][34].…”
Section: Plos Onementioning
confidence: 99%
“…As the Fourier coefficients of the transformed function represent the contribution of each sinus and cosine function at each frequency, the signal can then be evaluated for its frequency content. An inverse Fourier transform converts data from the frequency domain into the time domain, exactly as you might expect [25,26].…”
Section: Fourier Transform and Wavelet Transformmentioning
confidence: 99%
“…Images play a very crucial role in terms of confidentiality and secrecy [1][2][3][4][5][6][7]. The Internet is an open and unsecured network.…”
Section: Introductionmentioning
confidence: 99%