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: 184 | Downloads: 70
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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.
