Image denoising is a process used to remove unwanted noise from digital images. Noise can occur due to various factors, such as low light conditions or sensor limitations, resulting in grainy or unclear pictures. Denoising techniques aim to enhance image quality by preserving important details while eliminating this unwanted distortion. There are several methods for image denoising, including spatial filtering, frequency domain filtering, and machine learning approaches. Each method has its strengths and weaknesses, but the goal remains the same: to produce a cleaner, clearer image that accurately represents the original scene without compromising essential features.