CGMBE: a model-based tool for the design and implementation of real-time image processing applications on CPU–GPU platforms

Wu, Jiahao; Xie, Jing; Bardakoff, Alexandre; Blattner, Timothy; Keyrouz, Walid; Bhattacharyya, Shuvra S.

doi:10.1007/s11554-020-00994-9

Cited by 4 publications

(2 citation statements)

References 25 publications

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“…Processing high definition and large‐sized images require practical image processing algorithms and robust resources to store them. In such an aspect, time, space, access rate, speed need to be considered 2 . Images are heavily used in healthcare, 3 transportation, 4 governance, 5 e‐commerce, 6 education, 7 social media 8 and many more.…”

Section: Introductionmentioning

confidence: 99%

“…In such an aspect, time, space, access rate, speed need to be considered. 2 Images are heavily used in healthcare, 3 transportation, 4 governance, 5 e-commerce, 6 education, 7 social media 8 and many more. Various technologies like soft computing, deep learning, machine learning are now used along with traditional image processing applications.…”

Section: Introductionmentioning

confidence: 99%

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PixJS: A novel chaos‐based approach for image encryption

Tuli

Soneji

Vahora

et al. 2022

Concurrency and Computation

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Image encryption has variety of applications in the healthcare, military, e-commerce, and education sectors. Along with processing images for various applications, secure storage of such images is essential. For many years, encryption of images is a fruitful method for the secure transmission of multimedia data that carries sensitive information across multiple mediums. There is umpteen number of image encryption methods available which exhibit improved performance either in time, space, or susceptance to attacks in a controlled environment. Few image encryption algorithms have higher computational complexity, whereas some are immune to a handful of attacks (either differential, statistical, brute force, or known-plaintext and chosen-plain text attacks). We have developed a novel chaos-based image encryption algorithm-PixJS for 8-bit grayscale images based on linear feedback shift register, logistic map, and jumbling process. The algorithm was initially proposed for the text-based passwords called as jumbling-salting algorithm in 2014. We conducted a comprehensive analysis of the proposed algorithm on sets of symmetric and asymmetric images (10 samples each) and addressed four research questions primarily based on speed and security parameters. After conducting thorough experimentation, we found that our algorithm outperformed existing algorithms in security and has proven to be resistant to statistical, differential, brute-force, known plain text, and chosen plain text attacks.

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