Denoising techniques are methods used to remove noise from signals or images, improving their quality. Noise can be random variations that obscure the true information, making it difficult to analyze or interpret data. Common denoising methods include Gaussian filtering, median filtering, and wavelet transforms, each with its own approach to smoothing out unwanted variations. These techniques are widely applied in various fields, such as image processing, audio engineering, and data analysis. By enhancing the clarity of the original signal or image, denoising techniques help in better decision-making and more accurate results in tasks like medical imaging and machine learning.