A Survey on Image Denoising Techniques

The primary objective of image denoising is to suppress or discard noise or distortions from a noisy image. Images may become noisy during various processes such as image acquisition, compression, etc. Noise present in images degrades its quality; hence different techniques have been developed to successfully remove noise, without affecting image features. Therefore, image denoising is a very important task in the area of image processing. In this paper, various image denoising techniques have been explained, that have been prominent in recent times. Also, the different metrics used to evaluate these denoising models, and the loss functions that have been used in these models are also being discussed.