The computation of optical flow
ACM Computing Surveys (CSUR)
Reliable Estimation of Dense Optical Flow Fields with Large Displacements
International Journal of Computer Vision
Computer Vision and Image Understanding - Special issue on empirical evaluation of computer vision algorithms
Application of Non-Linear Image Processing: Digital Video Archive Restoration
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Determining Optical Flow
Highly Accurate Optic Flow Computation with Theoretically Justified Warping
International Journal of Computer Vision
Space-Time Adaptation for Patch-Based Image Sequence Restoration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Video Inpainting Under Constrained Camera Motion
IEEE Transactions on Image Processing
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In this paper, we describe an automatic method for detecting and repairing non-repetitive damages in image sequences, caused by dust, fibers or local defects of the film emulsion. The method is a three frame window scheme based on the calculation of the optical flow (OF) relating adjacent frames and the first and the last frames of the sequence. The OF validity is checked in order to detect non-repetitive damage, and is later repaired using filtering and smooth blending of the damaged zones. The method works correctly for the set of tested image sequences providing perfect visual repairs of the damaged zones.