Variational Algorithms to Remove Stationary Noise: Applications to Microscopy Imaging

J. Fehrenbach, P. Weiss, C. Lorenzo
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
more » ... uired using different modalities: scanning electron microscope, FIB-nanotomography, and an emerging fluorescence microscopy technique called SPIM (Selective Plane Illumination Microscope).
doi:10.1109/tip.2012.2206037 pmid:22752131 fatcat:p3eeu3et75ez7abuou44tnwleq