The Conjugate Gradient approach is a technique for numerical optimization that identifies the optimal solution by focusing on the coefficient conjugate. This helps the approach find the optimal answer more quickly. This technique bears the same name as its namesake. In this paper, a novel approach utilizing conjugate gradients and coefficients is proposed for the purpose of removing impulsive noise from photographs. It has been demonstrated that the approach, which is based on a quadratic function, converges to the same value everywhere in the world. The research indicates that the method for recovering photos using this methodology is highly successful.
Hassan, B. Abbas and Sulaiman, R. M. (2026). .Flexibility Conjugate Gradient Methods for Image Processing. Computational Methods for Differential Equations, (), -. doi: 10.22034/cmde.2026.71644.3599
MLA
Hassan, B. Abbas, and Sulaiman, R. M.. ".Flexibility Conjugate Gradient Methods for Image Processing", Computational Methods for Differential Equations, , , 2026, -. doi: 10.22034/cmde.2026.71644.3599
HARVARD
Hassan, B. Abbas, Sulaiman, R. M. (2026). '.Flexibility Conjugate Gradient Methods for Image Processing', Computational Methods for Differential Equations, (), pp. -. doi: 10.22034/cmde.2026.71644.3599
CHICAGO
B. Abbas Hassan and R. M. Sulaiman, ".Flexibility Conjugate Gradient Methods for Image Processing," Computational Methods for Differential Equations, (2026): -, doi: 10.22034/cmde.2026.71644.3599
VANCOUVER
Hassan, B. Abbas, Sulaiman, R. M. .Flexibility Conjugate Gradient Methods for Image Processing. Computational Methods for Differential Equations, 2026; (): -. doi: 10.22034/cmde.2026.71644.3599
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