  In this paper, we propose a variational approach for video denoising, based
on a total directional variation (TDV) regulariser proposed in Parisotto et al.
(2018), for image denoising and interpolation. In the TDV regulariser, the
underlying image structure is encoded by means of weighted derivatives so as to
enhance the anisotropic structures in images, e.g. stripes or curves with a
dominant local directionality. For the extension of TDV to video denoising, the
space-time structure is captured by the volumetric structure tensor guiding the
smoothing process. We discuss this and present our whole video denoising
work-flow. Our numerical results are compared with some state-of-the-art video
denoising methods.
