High Security Multiple-image Encryption using Discrete Cosine Transform and Discrete Multiple-Parameter Fractional Fourier Transform

Ren, Guanghui; Han, Jia-Jun; Zhu, Haihui; Fu, Jiahui; Shan, Mingguang

doi:10.12720/jcm.11.5.491-497

Cited by 3 publications

(2 citation statements)

References 20 publications

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“…Fractional Fourier Transforms [15, Fractional Riesz Transforms Fractional Cosine Transform [18,20,41,[47][48][49] Fractional F-Kravchuk…”

Section: Frequently Used Less Frequently Usedmentioning

confidence: 99%

“…Ren et al [41] proposed a multiple image encryption scheme based on discrete multiple parameter fractional Fourier transform (DMPFrFT) for which original images are filtered in DCT domain and multiplexed into a single image. The multiple parameters are again generated using a periodicity parameter which serves as one of the keys.…”

Section: On the Basis Of Fixed/multiparameter (T )mentioning

confidence: 99%

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Image encryption using fractional integral transforms: Vulnerabilities, threats, and future scope

Kaur

Agarwal

Patidar

2022

Front. Appl. Math. Stat.

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With the enormous usage of digital media in almost every sphere from education to entertainment, the security of sensitive information has been a concern. As images are the most frequently used means to convey information, the issue related to the privacy preservation needs to be addressed in each of the application domains. There are various security methods proposed by researchers from time to time. This paper presents a review of various image encryption schemes based on fractional integral transform. As the fractional integral transforms have evolved through their applications from optical signal processing to digital signal and digital image processing over the decades. In this article, we have adopted an architecture and corresponding domain-based taxonomy to classify various existing schemes in the literature. The schemes are classified according to the implementation platform, that may be an optical setup comprising of the spatial modulators, lenses, and charge-coupled devices or it can be a mathematical modeling of such transforms. Various schemes are classified according to the methodology adopted in each of them and a comparative analysis is also presented in tabular form. Based on the observations, the work is converged into a summary of various challenges and some constructive guidelines are provided for consideration in future works. Such a narrative review of encryption algorithm based on various architectural schematics in fractional integral transforms has not been presented before at one place.

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“…Fractional Fourier Transforms [15, Fractional Riesz Transforms Fractional Cosine Transform [18,20,41,[47][48][49] Fractional F-Kravchuk…”

Section: Frequently Used Less Frequently Usedmentioning

confidence: 99%

Section: On the Basis Of Fixed/multiparameter (T )mentioning

confidence: 99%

Image encryption using fractional integral transforms: Vulnerabilities, threats, and future scope

Kaur

Agarwal

Patidar

2022

Front. Appl. Math. Stat.

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Digital image encryption techniques for wireless sensor networks using image transformation methods: DCT and DWT

Shaheen

Sheltami

Al-Kharoubi

et al. 2018

J Ambient Intell Human Comput

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Multiple-Image Fusion Encryption (MIFE) Using Discrete Cosine Transformation (DCT) and Pseudo Random Number Generators

Yepdia¹,

Tiedeu²,

Lachiri³

2021

Multimedia Information Retrieval

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This chapter proposes a new multiple-image encryption algorithm based on spectral fusion of watermarked images and new chaotic generators. Logistic-May (LM), May-Gaussian (MG), and Gaussian-Gompertz (GG) were used as chaotic generators for their good properties in order to correct the flaws of 1D chaotic maps (Logistic, May, Gaussian, Gompertz) when used individually. Firstly, the discrete cosine transformation (DCT) and the low-pass filter of appropriate sizes are used to combine the target watermarked images in the spectral domain in two different multiplex images. Secondly, each of the two images is concatenated into blocks of small size, which are mixed by changing their position following the order generated by a chaotic sequence from the Logistic-May system (LM). Finally, the fusion of both scrambled images is achieved by a nonlinear mathematical expression based on Cramer’s rule to obtain two hybrid encrypted images. Then, after the decryption step, the hidden message can be retrieved from the watermarked image without any loss. The security analysis and experimental simulations confirmed that the proposed algorithm has a good encryption performance; it can encrypt a large number of images combined with text, of different types while maintaining a reduced Mean Square Error (MSE) after decryption.

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High Security Multiple-image Encryption using Discrete Cosine Transform and Discrete Multiple-Parameter Fractional Fourier Transform

Cited by 3 publications

References 20 publications

Image encryption using fractional integral transforms: Vulnerabilities, threats, and future scope

Image encryption using fractional integral transforms: Vulnerabilities, threats, and future scope

Digital image encryption techniques for wireless sensor networks using image transformation methods: DCT and DWT

Multiple-Image Fusion Encryption (MIFE) Using Discrete Cosine Transformation (DCT) and Pseudo Random Number Generators

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