id: 05674598
dt: j
an: 05674598
au: Dahl, Joachim; Hansen, Per Christian; Jensen, Søren Holdt; Jensen, Tobias
    Lindstrøm
ti: Algorithms and software for total variation image reconstruction via
    first-order methods.
so: Numer. Algorithms 53, No. 1, 67-92 (2010).
py: 2010
pu: Springer, Dordrecht
la: EN
cc: 
ut: 
ci: 
li: doi:10.1007/s11075-009-9310-3
ab: Summary: This paper describes new algorithms and related software for total
    variation (TV) image reconstruction, more specifically: denoising,
    inpainting, and deblurring. The algorithms are based on one of
    Nesterov’s first-order methods, tailored to the image processing
    applications in such a way that, except for the mandatory
    regularization parameter, the user needs not specify any parameters in
    the algorithms. The software is written in C with interface to {\tt
    Matlab} (version 7.5 or later), and we demonstrate its performance and
    use with examples.
rv: