Characterization of Signals from Multiscale Edges
IEEE Transactions on Pattern Analysis and Machine Intelligence
Motion Picture Restoration: Digital Algorithms for Artefact Suppression in Degraded Motion Picture Film and Video
Tracking and MAP Reconstruction of line scratches in degraded motion pictures
Machine Vision and Applications - Special issue: IEEE WACV
Deterioration detection for digital film restoration
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
A generalized model for scratch detection
IEEE Transactions on Image Processing
On missing data treatment for degraded video and film archives: a survey and a new Bayesian approach
IEEE Transactions on Image Processing
Adaptive line scratch detection in degraded films
Proceedings of the 9th European Conference on Visual Media Production
CONTENTUS--technologies for next generation multimedia libraries
Multimedia Tools and Applications
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In this paper, a solution for detecting scratches in old films and videos is presented. The focus is on automation and to enable fast, cost-effective processing of mass archives enabling a later reuse and repurposing. A common problem of line scratch detectors are the distinction of real scratches from strong vertical image features. Nearly all common solutions require a user interaction in the detection process. We propose a solution, which minimizes the false detection caused by strong vertical image features. Therefore, we utilize the fact that scratches are typically uncorrelated to the underlying image content and behavior. The detection is done by a structural analysis of the image, taking into account precise motion information and textures to separete scratches from real image content. After coherency analysis of spatial and temporal information, the false detected scratches are rejected. The proposed method allows a fast scratch detection and removal in an automatic environment without human interaction. Preliminary tests and results are presented and discussed.