An introduction to image denoising

Image acquisition comes with unavoidable and unwanted noise acquisition due to camera hardware limitations and illumination challenges, making image denoising a fundamental task in image processing.

The term ¨denoising¨ comes from the 1980s when it was used to describe the removal of noise from signals using wavelet transform-based algorithms. Currently, the term is used generally for any method of noise reduction. There are many different techniques such as spatial and transform domain filtering, hybrid methods, sparse representations, and deep learning methods.