DNA Coupled Chaos for Unified Color Image Encryption - a Secure Sharing Approach

Chidambaram, Nithya; Thenmozhi, K.; Amirtharajan, Rengarajan; Vineela, Kunda; Murali, Srilakshmi; Vandana, Veerepalli; Raj, Pethuru

doi:10.1109/icicct.2018.8473288

Cited by 6 publications

(3 citation statements)

References 15 publications

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“…The encryption algorithms themselves also employ a wide range techniques. These include encryption then transmission [188], using DNA sequences as a one-time pad [184], the Vigenere cipher [189], matrix subdivision [186], splitting color streams [190], the use of the Chinese remainder theorem [191], and the use of reconfigurable hardware called FPGA.…”

Section: Dna Computingmentioning

confidence: 99%

Chaotic Image Encryption: State-of-the-Art, Ecosystem, and Future Roadmap

Zolfaghari

Koshiba

2022

ASI

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Recently, many researchers have been interested in the application of chaos in cryptography. Specifically, numerous research works have been focusing on chaotic image encryption. A comprehensive survey can highlight existing trends and shed light on less-studied topics in the area of chaotic image encryption. In addition to such a survey, this paper studies the main challenges in this field, establishes an ecosystem for chaotic image encryption, and develops a future roadmap for further research in this area.

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Section: Dna Computingmentioning

confidence: 99%

Chaotic Image Encryption: State-of-the-Art, Ecosystem, and Future Roadmap

Zolfaghari

Koshiba

2022

ASI

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“…Let α, β, and γ be the weight indices of contrast, brightness, and structural feature. Then, all these features can be combined by formula (8) into the final score of quality evaluation:…”

Section: Quality Evaluationmentioning

confidence: 99%

“…These problems can be solved through color management. That is, the color displayed on the images needs to be adjusted as needed, making color rendering more accurate on existing hardware facilities [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Color Management of Digital Media Art Images Based on Image Processing

Zhu¹

2020

ISI

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In recent years, there is a growing demand for high-quality color imaging of digital media art (DMA) images, along with the proliferation of smart mobile terminals and the Internet technology. However, the existing digital terminals cannot transmit or reproduce the color of DMA images satisfactorily. This paper explores the key techniques of color management of highly dynamic color DMA images, aiming to evaluate the exact quality and acquire abundant details of these images. Firstly, five indices were designed to evaluate the quality of highly dynamic color DMA images, namely, peak signal-to-noise ratio (PSNR), mean square error (MSE), Pearson linear correlation coefficient (PLCC), Kendall rank correlation coefficient (KRCC), and Spearman's rank correlation coefficient (SRCC). The workflow of image quality judgement was also introduced. To correct the DMA images under nonstandard illumination, a color correction method was proposed based on Retinex algorithm. In addition, a color reconstruction method was developed based on nonlocal Laplace energy function, solving the invalid and missing regions of single-frame color images. Finally, the effectiveness of our color management method was proved through experiments. The research results provide a reference for image quality valuation and color management in other fields.

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