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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
In order to reduce the periods of the balancing transformation, we separate the consecutive pixels as far as possible from each other in that domain of the digital images.
📌 3 Key Takeaways
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Objective & Hypothesis:In this article, a new approach to the study of image scrambling based on balancing numbers, balancing transformation is presented.
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Key Findings & Data:The properties of the proposed transformation and its periodicity are studied in details.
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Conclusion & Impact:In order to reduce the periods of the balancing transformation, we separate the consecutive pixels as far as possible from each other in that domain of the digital images.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Özet
In this article, a new approach to the study of image scrambling based on balancing numbers, balancing transformation is presented. The properties of the proposed transformation and its periodicity are studied in details. In order to reduce the periods of the balancing transformation, we separate the consecutive pixels as far as possible from each other in that domain of the digital images.
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Cite This Article
RAY, P. K., PATEL, B. K., CHOWDHURY, D. P., KUJUR, S. (2019). A DIGITAL SCRAMBLING METHOD BASED ON BALANCING NUMBERS. TWMS (Turkic World Mathematical Society) Journal of Applied and Engineering Mathematics, Cilt: 9 - Sayı: 2, 287–293. https://ajindex.com/articles/327435