Journal of Mathematical Problems, Equations and Statistics
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P-ISSN: 2709-9393, E-ISSN: 2709-9407

2023, Vol. 4, Issue 2, Part A


Enhancing image design using fractional derivatives: A comparative review


Author(s): Kamlesh Kumar Saini and Dr. Vineeta Basotia

Abstract: This research paper presents a comparative review of the application of fractional derivatives in enhancing image design. Fractional calculus provides a unique approach to analyze images, capturing non-local and non-integer order information. The study explores the potential benefits of fractional derivatives in image processing and design, comparing their performance against traditional integer-order derivatives. The paper includes mathematical formulations, computational implementations, and a comprehensive analysis of results obtained through various image enhancement techniques.

Pages: 44-48 | Views: 505 | Downloads: 213

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Journal of Mathematical Problems, Equations and Statistics
How to cite this article:
Kamlesh Kumar Saini and Dr. Vineeta Basotia. Enhancing image design using fractional derivatives: A comparative review. Journal of Mathematical Problems, Equations and Statistics. 2023; 4(2): 44-48.
Journal of Mathematical Problems, Equations and Statistics
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