International Journal of Computer Vision - Special issue on statistical and computational theories of vision: modeling, learning, sampling and computing, Part I
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
From Gestalt Theory to Image Analysis: A Probabilistic Approach
From Gestalt Theory to Image Analysis: A Probabilistic Approach
Film line scratch detection using texture and shape information
Pattern Recognition Letters
A method of scratch removal from old movie film using variant window by Hough transform
ISCIT'09 Proceedings of the 9th international conference on Communications and information technologies
Scratch detection supported by coherency analysis of motion vector fields
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A generalized model for scratch detection
IEEE Transactions on Image Processing
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In this paper, a robust, automatic and pixel-precision spatial line scratch detection algorithm is proposed. This algorithm deals with still images and may be followed by a temporal analysis to improve detection performances. By relaxing some of the hypotheses used in previous algorithms, detection of a wider range of scratch types is possible. The algorithm's robustness and lack of external parameters is ensured by the combined use of an a contrario methodology and local statistical estimation. In this manner, over-detection in textured or cluttered areas is greatly reduced. Experiments demonstrate the algorithm's ability to deal with difficult situations, in particular in the presence of noise, texture and slanted or partial scratches. Comparisons show the algorithm's advantages over previous work.