Title :
Multi-directional detection of scratches in digitized images
Author :
Ardizzone, E. ; Dindo, H. ; Mazzola, G. ; Scriminaci, M. ; Vitali, M.
Author_Institution :
Dipt. di Ing. Inf. (DINFO), Univ. degli Studi di Palermo, Palermo, Italy
Abstract :
Line scratches are common defects in old archived videos. Many printed images suffer of a similar problem, in most cases due to improper handling or inaccurate preservation of the support. Once an image is digitized, its defects become part of that image. Many state-of-the-art papers deal with long, thin, vertical lines in old movie frames, by exploiting both spatial and temporal information. In this paper we present a method that consistently modifies and extends our previous proposed algorithm, to detect line scratches in digitized still images. Our method is able to detect scratches regardless of their orientation, and to draw their contour by labeling the pixels belonging to them.
Keywords :
image resolution; information retrieval systems; object detection; video signal processing; Line scratches; digitized images; improper support handling; inaccurate support preservation; multidirectional scratch detection; old archived videos; old movie frames; pixel labeling; spatial information; temporal information; Abstracts; Buildings; Image color analysis; Image segmentation; Motion pictures; Subspace constraints;
Conference_Titel :
Signal Processing Conference, 2009 17th European
Conference_Location :
Glasgow
Print_ISBN :
978-161-7388-76-7