Reducing Impulse Noise in Images Using an Improved Formula Conjugate Gradient Method
The conjugate formula's significance is frequently emphasised by conjugate gradient approaches. In this paper, a novel conjugate coefficient for the conjugate gradient technique is introduced using a quadratic model and conjugacy condition. This coefficient is used to address image restoration...
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| Главные авторы: | , |
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| Формат: | Статья |
| Язык: | английский |
| Опубликовано: |
Salahaddin University-Erbil
2025-06-01
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| Серии: | Zanco Journal of Pure and Applied Sciences |
| Предметы: | |
| Online-ссылка: | https://zancojournal.su.edu.krd/index.php/JPAS/article/view/3025 |
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| Итог: | The conjugate formula's significance is frequently emphasised by conjugate gradient approaches. In this paper, a novel conjugate coefficient for the conjugate gradient technique is introduced using a quadratic model and conjugacy condition. This coefficient is used to address image restoration issues. The algorithms described in this study exhibit the essential descent property and global convergence. The new approach is far better, as shown by numerical experiments. It has been demonstrated that the innovative conjugate gradient strategy outperforms the conventional FR conjugate gradient method. The great improvement of the new method has been confirmed by numerical testing. It has been demonstrated that the novel conjugate gradient approach outperforms the widely used FR approach.
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| ISSN: | 2218-0230 2412-3986 |