1
Department of Mathematics, College of Computers Sciences and Mathematics University of Mosul, IRAQ
2
Mathematics
3
math.
10.22034/cmde.2026.70442.3504
Abstract
In this study, a novel conjugate coefficient that is especially intended to address picture restoration issues is presented within the context of the conjugate gradient approach. Stability and dependability are ensured throughout the iterative process by the suggested method, which not only ensures global convergence but also upholds the crucial descent feature. The results of extensive numerical studies show that the new method regularly performs better than conventional tactics. Significant gains in computing efficiency and restoration accuracy are particularly evident when compared to the traditional Fletcher-Reeves (FR) conjugate gradient approach. With better performance in iteration reduction, function evaluations, and feature retention, our results show that the improved conjugate gradient approach is a reliable and efficient tool for high-quality picture reconstruction.
Hassan, B. Abbas , HUSSEIN, S. A. and MAHMOOD, A. ABDULAZIZ (2026). Advanced conjugate gradient technique for image restoration. Computational Methods for Differential Equations, (), -. doi: 10.22034/cmde.2026.70442.3504
MLA
Hassan, B. Abbas, , HUSSEIN, S. A., and MAHMOOD, A. ABDULAZIZ. "Advanced conjugate gradient technique for image restoration", Computational Methods for Differential Equations, , , 2026, -. doi: 10.22034/cmde.2026.70442.3504
HARVARD
Hassan, B. Abbas, HUSSEIN, S. A., MAHMOOD, A. ABDULAZIZ (2026). 'Advanced conjugate gradient technique for image restoration', Computational Methods for Differential Equations, (), pp. -. doi: 10.22034/cmde.2026.70442.3504
CHICAGO
B. Abbas Hassan , S. A. HUSSEIN and A. ABDULAZIZ MAHMOOD, "Advanced conjugate gradient technique for image restoration," Computational Methods for Differential Equations, (2026): -, doi: 10.22034/cmde.2026.70442.3504
VANCOUVER
Hassan, B. Abbas, HUSSEIN, S. A., MAHMOOD, A. ABDULAZIZ Advanced conjugate gradient technique for image restoration. Computational Methods for Differential Equations, 2026; (): -. doi: 10.22034/cmde.2026.70442.3504