DocumentCode :
2060320
Title :
Improved blotch detection in color old films through a robust preprocessing
Author :
Ammar-Badri, H. ; Benazza-Benyahia, A.
Author_Institution :
COSIM Lab., Carthage Univ., Tunis, Tunisia
fYear :
2013
fDate :
9-13 Sept. 2013
Firstpage :
1
Lastpage :
5
Abstract :
Blotches are artifacts that contaminate old films and cause the loss of some information in the film. Their detection is required prior to any restoration. The goal of this paper is to reduce the false alarm rate of the detection. By assuming that blotches correspond to local illumination variations between the degraded frame and its surrounding ones, the novelty of the approach we propose is threefold. Firstly, an appropriate photometric parametric model is adopted. Secondly, a motion analysis involving a robust adaptive cross-correlation measure is used to locally measure the illumination variation. Thirdly, the extension to color sequences is performed. Experimental evaluation shows the efficiency of the proposed preprocessing.
Keywords :
image processing; image restoration; motion estimation; object detection; adaptive cross-correlation measure; blotch detection; color old films; false alarm rate; local illumination variations; motion analysis; photometric parametric model; preprocessing; Detectors; Image color analysis; Image restoration; Lighting; Motion measurement; Pollution measurement; Robustness; blotch detection; motion estimation; outliers; photometric parametric model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2013 Proceedings of the 21st European
Conference_Location :
Marrakech
Type :
conf
Filename :
6811702
Link To Document :
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