A Hybrid Model in Denoising Salt and Pepper Noise in Grey Images

[1]. Alaoui, N., Adamou?Mitiche, A. B. H., & Mitiche, L. (2020). Effective hybrid genetic algorithm for removing salt and pepper noise. IET Image Processing, 14(2), 289-296. [2]. Albadr, M. A., Tiun, S., Ayob, M., & Al-Dhief, F. (2020). Genetic algorithm based on natural selection theory for optimization problems. Symmetry, 12(11), 1758. [3]. B?lohlávek, R., & Klir, G. J. (Eds.). (2011). Concepts and fuzzy logic. MIT press. [4]. Chen, M. (2018, September). Applications research of improved genetic algorithm in image denoising. In Journal of Physics: Conference Series (Vol. 1087, No. 2, p. 022032). IOP Publishing. [5]. Chowdhury, M., Gao, J., & Islam, R. (2016, July). Fuzzy logic-based filtering for image de- noising. In 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (pp. 2372- 2376). IEEE. [6]. Davies, I. N., Ene, D., Cookey, I. B., & Lenu, G. F. (2022). Implementation of a Type-2 Fuzzy Logic Based Prediction System for the Nigerian Stock Exchange. arXiv preprint arXiv:2202.02107. [7]. de Paiva, J. L., Toledo, C. F., & Pedrini, H. (2016). An approach based on hybrid genetic algorithm applied to image denoising problem. Applied Soft Computing, 46, 778-791. [8]. Faro, A., Giordano, D., & Spampinato, C. (2006). Neural network combined with fuzzy logic to remove salt and pepper noise in digital images. In Applications of Soft Computing: Recent Trends (pp. 23-33). Springer Berlin Heidelberg. [9]. Ghazwan Jabbar, A. (2023). SALT AND PEPPER NOISE REMOVING IN GRAY IMAGES BASED ON FUZZY LOGIC. Central Asian Journal of Mathematical Theory and Computer Sciences, 4(8), 81-90. [10]. Mirjalili, S., & Mirjalili, S. (2019). Genetic algorithm. Evolutionary algorithms and neural networks: Theory and applications, 43-55. [11]. Ralevi?, N. (2021). Applications of the Fuzzy metrics in image denoising and segmentation. Tehni?ki vjesnik, 28(3), 819-826. [12]. Salamat, N., & Missen, M. M. S. (2015). Fuzzy rule-based salt and pepper noise removing in gray images. British Journal of Mathematics & Computer Science, 6(1), 53. [13]. Sakthidasan, K., & Nagappan, N. V. (2016). Noise free image restoration using hybrid filter with adaptive genetic algorithm. Computers & Electrical Engineering, 54, 382-392. [14]. Toledo, C. F., de Oliveira, L., da Silva, R. D., & Pedrini, H. (2013, June). Image denoising based on genetic algorithm. In 2013 IEEE Congress on Evolutionary Computation (pp. 1294- 1301). IEEE. [15]. Yager, R. R., & Zadeh, L. A. (Eds.). (2012). An introduction to fuzzy logic applications in intelligent systems (Vol. 165). Springer Science & Business Media. [16]. Zadeh, L. A. (2023). Fuzzy logic. In Granular, Fuzzy, and Soft Computing (pp. 19-49). New York, NY: Springer US