4.6 Article

Fractional-Order Euler-Lagrange Equation for Fractional-Order Variational Method: A Necessary Condition for Fractional-Order Fixed Boundary Optimization Problems in Signal Processing and Image Processing

期刊

IEEE ACCESS
卷 4, 期 -, 页码 10110-10135

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2016.2636159

关键词

Fractional calculus; fractional-order Green formula; fractional-order steepest descent approach; fractional-order extreme point; fractional-order image restoration

资金

  1. Foundation Franco-Chinoise Pour La Science Et Ses Applications
  2. National Natural Science Foundation of China [61571312]
  3. Science and Technology Support Project of Sichuan Province of China [2013SZ0071]
  4. Science and Technology Support Project of Chengdu PU Chip Science and Technology Company, Ltd.

向作者/读者索取更多资源

This paper discusses a novel conceptual formulation of the fractional-order Euler Lagrange equation for the fractional-order variational method, which is based on the fractional-order extremum method. In particular, the reverse incremental optimal search of the fractional-order variational method is based on the fractional-order steepest descent approach. Fractional calculus has been applied to the solution of a necessary condition for the fractional-order fixed boundary optimization problems in signal processing and image processing mainly because of its inherent strengths in terms of long-term memory, non locality, and weak singularity. At first, for the convenience of comparison, the first-order Euler Lagrange equation for the first-order variational method is derived based on the first-order Green formula. Second, the fractional-order Euler Lagrange equation for the fractional-order variational method is derived based on Wiener Khintchine theorem. Third, in order to directly and easily achieve the fractional-order variational method in the spatial domain or the time domain, the fractional-order Green formula and the fractional-order Euler Lagrange equation based on the fractional-order Green formula are derived, respectively. Fourth, the solution procedure of the fractional-order Euler Lagrange equation is derived. Finally, a fractional-order inpainting algorithm and a fractional-order denoising algorithm based on the fractional-order variational method are illustrated, respectively. The capability of restoring and maintaining the edges and textural details of the fractional-order image restoration algorithm based on the fractional-order variational method is superior to that of the integer-order image restoration algorithm based on the classical first-order variational method, especially for images rich in textural details. The fractional-order Euler Lagrange equation for the fractional-order variational method proposed by this paper is a necessary condition for the fractional-order fixed boundary optimization problems, which is a basic mathematical method in the fractional-order optimization and can be widely applied to the fractional-order field of signal analysis, signal processing, image processing, machine intelligence, automatic control, biomedical engineering, intelligent transportation, computational finance and so on.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据