共轭梯度法去除脉冲噪声图像的丰富公式

IF 1.1 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES Pub Date : 2022-11-17 DOI:10.1080/02522667.2022.2122199
Basim A. Hassan, Ali Ahmed A. Abdullah
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引用次数: 0

摘要

摘要公式共轭是共轭梯度技术中的焦点。本文利用Perry共轭条件和二次模型为共轭梯度技术导出了一种新的系数共轭,用于解决图像恢复问题。该算法具有全局收敛性,并具有所需的下降特性。这项新技术在数值试验中显示出显著的改进。结果表明,新的共轭梯度方法优于传统的FR共轭梯度方法。这项新技术在数值试验中显示出显著的改进。结果表明,新的共轭梯度方法优于传统的FR共轭梯度方法。
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Enriched formulas to conjugate gradient method for removing impulse noise images
Abstract The formula conjugate is usually the focal point in conjugate gradient techniques. In this paper, the Perry’s conjugacy condition and quadratic model are used to derive a new coefficient conjugate for the conjugate gradient technique, which is used to solve picture restoration issues. The algorithms show global convergence and have the required descent property. The new technique has showed substantial improvement in numerical testing. It has been demonstrated that the novel conjugate gradient approach outperforms the traditional FR conjugate gradient method. The new technique has showed substantial improvement in numerical testing. It has been demonstrated that the novel conjugate gradient approach outperforms the traditional FR conjugate gradient method.
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JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES
JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES INFORMATION SCIENCE & LIBRARY SCIENCE-
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21.40%
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