Digital images have an inherent amount Deepika Sharma of noise introduced either by the imaging process or manual creation. Singular value decomposition (SVD) is one of the most important and useful factorizations in linear algebra. We describe how SVD is applied to problems involving image processing—in particular, how SVD removes the noise from digital images using linear calculations. In thi...

Denoising is a fundamental problem in image processing. Mixed noise removal from natural images is a challenging task since the noise distribution usually does not have a parametric model and has a heavy tail. Two types of commonly encountered noise are additive white Gaussian noise (AWGN) and impulse noise (IN). Many of the existing mixed noise removal methods are detection based methods. They...