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Variational Algorithms to Remove Stationary Noise: Applications to Microscopy Imaging
2012
IEEE Transactions on Image Processing
A framework and an algorithm are presented in order to remove stationary noise from images. This algorithm is called VSNR (Variational Stationary Noise Remover). It can be interpreted both as a restoration method in a Bayesian framework and as a cartoon+texture decomposition method. In numerous denoising applications the white noise assumption fails: structured patterns (e.g. stripes) appear in the images. The model described here addresses these cases. Applications are presented with images
doi:10.1109/tip.2012.2206037
pmid:22752131
fatcat:p3eeu3et75ez7abuou44tnwleq