Robust incremental optical flow
Robust incremental optical flow
A nonlinear filter for film restoration and other problems in image processing
CVGIP: Graphical Models and Image Processing
Computing optical flow via variational techniques
SIAM Journal on Applied Mathematics
Motion Picture Restoration: Digital Algorithms for Artefact Suppression in Degraded Motion Picture Film and Video
Image Sequence Restoration: A PDE Based Coupled Method for Image Restoration and Motion Segmentation
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Deterministic edge-preserving regularization in computed imaging
IEEE Transactions on Image Processing
Simultaneous motion estimation and filtering of image sequences
IEEE Transactions on Image Processing
Journal of Computational and Applied Mathematics - Special issue: Applied computational inverse problems
Motion compensated video super resolution
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
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This article deals with new restoration algorithms of strongly degraded videos. Degradations appears either as missing data in every image or as a large magnitude impulse noise. The proposed algorithm is based upon a partial differential equation formalism coming from recent works on image inpainting and video sequence restoration. It use a 3D representation of the video sequences and can process moving background sequence. Simultaneous inpainting and motion estimation are carried out. High quality results are presented in the context of the restoration of degraded films.