Optimizing conjugate gradient methods for removing noise in digital images
Ranen M. Sulaimin0000-0003-2760-232XDepartment of MathematicsCollege of Computer Sciences and MathematicsUniversity of MosulMosul, 41002, Iraqranen.25csp110@uomosul.edu.iqView full profile → , *Basim A. HassanCorresponding authorbasimah@uomosul.edu.iqDepartment of MathematicsCollege of Computer Sciences and MathematicsUniversity of MosulMosul, 41002, Iraq0000-0003-3510-9818View full profile →
* Corresponding author · click or hover a name for details
- Received:
- 01 Dec 2025
- Published Online:
- 09 Apr 2026
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JIM-2565
- Pages:
- 1017–1022
Abstract
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References
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[8] B. A. Hassan, K. Muangchoo, F. Alfarag, A. H. Ibrahim, and A. B. Abubakar, “An improved quasi-Newton equation on the quasi-Newton methods for unconstrained optimizations,” Indonesian J. of Electrical En. and Computer Science, vol. 22, no. 2, pp. 997-1005 (2021), doi: 10.11591/ijeecs.v22.i2.
[9] B. A. Hassan and A. A. Saad, “Explaining new parameters conjugate analysis based on the quadratic model,” Journal of Interdisciplinary Mathematics, vol. 26, no. 6 (2023), doi: 10.47974/JIM-1620.
[10] B. A. Hassan, “A modified quasi-Newton methods for unconstrained optimization,” Italian Journal of Pure and Applied Mathematics, no. 42, pp. 504-511 (2019).
[11] B. A. Hassan and H. A. Alashoor, “Pediment new parameters for a conjugate gradient method and using it in restoring distorted images,” in Proc. 2022 8th Int. Conf. Contemporary Information Technology and Mathematics (ICCITM) (2022), doi: 10.1109/ICCITM56309.2022.100318.
