能量最小化问题中的双链平滑技术

IF 1.1 Q2 MATHEMATICS, APPLIED Numerical Algebra Control and Optimization Pub Date : 2022-01-01 DOI:10.3934/naco.2022022

A. Sahiner, Nurullah Yilmaz

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引用次数: 0

摘要

本文提出了一种基于双链贝塞尔曲线平滑技术的图像去噪算法。该算法用于求解非光滑总变范数(TV)的能量最小化问题。为了证明该算法的有效性，我们将其应用于一些数值算例。给出了实验结果，并与双曲平滑电视算法和标准电视算法的结果进行了比较。

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Double stranded smoothing technique in energy minimization problems

In this study, we propose a new algorithm for image denoising by using double stranded Bezier curves based smoothing technique. The algorithm is developed to solve energy minimization problems with non-smooth total variation norm (TV). In order to demonstrate the efficiency of the algorithm we apply it to some numerical examples. The experimental results are reported and they are compared with the results obtained from TV algorithm with hyperbolic smoothing and standard TV algorithm.

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来源期刊

Numerical Algebra Control and Optimization MATHEMATICS, APPLIED-

CiteScore

3.10

自引率

0.00%

发文量

期刊介绍： Numerical Algebra, Control and Optimization (NACO) aims at publishing original papers on any non-trivial interplay between control and optimization, and numerical techniques for their underlying linear and nonlinear algebraic systems. Topics of interest to NACO include the following: original research in theory, algorithms and applications of optimization; numerical methods for linear and nonlinear algebraic systems arising in modelling, control and optimisation; and original theoretical and applied research and development in the control of systems including all facets of control theory and its applications. In the application areas, special interests are on artificial intelligence and data sciences. The journal also welcomes expository submissions on subjects of current relevance to readers of the journal. The publication of papers in NACO is free of charge.