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Automatic Detection of Degraded Regions in Old Film Archive  

Kim, Kyung-Tai (건국대학교 신기술융합학과)
Kim, Byung-Geun (건국대학교 신기술융합학과)
Kim, Eun-Yi (건국대학교 신기술융합학과)
Abstract
This paper presents a method that can automatically detect variety of degradations (i.e., scratches and blotches) in old film archive. The proposed method consists of candidate detection and verification. Degradations are first identified by finding the local extreme of a frame in spatiotemporal domains, thereby using edge detector and SROD detector. Then, to remove some false alarms occurred in the first stages, the verification is performed using the texture and shape properties of scratches and blotches. The textural properties of scratches and blotches are learned using neural networks (NNs) and their shapes are represented using morphological filters. The experiments were performed on several old films, then the results demonstrated the effectiveness of the proposed method, where it has a precision of 81% and a recall of 79%.
Keywords
Film restoration; Scratch detection; Blotch detection;
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