A Review of Nonlinear Image-Denoising Techniques
Ayman Mahmoud Aref Abdalla, Mohammed S. Osman, Hanadi Alshawabkah, Osaid Rumman, Mutaz Mherat · 2018
This paper discusses different nonlinear techniques for removing noise from images; i.e., image denoising. These techniques differ in terms of algorithm design, purpose, effectiveness, and efficiency. In this paper, different denoising techniques are described briefly where their advantages and disadvantages are discussed. The performances of these techniques are analyzed and compared according to different implementations using statistical methods. Finally, the paper infers when each denoising method is most effective what type of noise each method can handle effectively.