Image denoising is the process of reducing or removing noise from digital images. Noise can occur during image acquisition, such as from a camera's sensor in low-light conditions. Algorithms for image denoising use various techniques, like filtering and machine-learning-based methods. These algorithms analyze the image's patterns and statistical properties to distinguish between noise and actual image content, thereby improving the visual quality of the image. Image denoising is crucial in fields like astrophotography, where faint signals are often corrupted by noise.
