Image denoising is a process used to remove noise from digital images, enhancing their quality. Noise can arise from various sources, such as low light conditions, sensor limitations, or transmission errors. The goal of denoising is to recover the original image while preserving important details and features. Various techniques are employed for image denoising, including Gaussian filtering, median filtering, and more advanced methods like deep learning. These methods analyze the image data to distinguish between noise and actual content, allowing for clearer and more visually appealing images.