NDLI: Adaptive line scratch detection in degraded films

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Content Provider	ACM Digital Library
Author	Almansa, Andrés Newson, Alasdair Gousseau, Yann Pérez, Patrick
Abstract	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.
Starting Page	66
Ending Page	74
Page Count	9
File Format	PDF
ISBN	9781450313117
DOI	10.1145/2414688.2414697
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-12-05
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Adaptive detection Film restoration a contrario methods Line scratches
Content Type	Text
Resource Type	Article

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Adaptive line scratch detection in degraded films