Title :
A genetic algorithm for scratch removal in static images
Author :
Tegolo, Domenico ; Isgrò, Francesco
Author_Institution :
Dipartimento di Matematica e Applicazioni, Palermo Univ., Italy
Abstract :
This paper investigates the removal of line scratches from old moving pictures and gives a twofold contribution. First, it presents a simple technique for detecting the scratches, based on an analysis of the statistics of the grey levels. Second, the scratch removal is approached as an optimisation problem, which is solved by using a genetic algorithm. The method can be classified as a static approach, as it works independently on each single frame of the sequence. It does not require any a-priori knowledge of the absolute position of the scratch, nor an external starting population of chromosomes for the genetic algorithm. The central column of the line scratch once detected is changed with a conventional linear interpolation; this transformation is the starting point of the optimisation process
Keywords :
cinematography; edge detection; genetic algorithms; interpolation; statistical analysis; genetic algorithm; grey levels; line scratch detection; linear interpolation; moving pictures; optimisation; scratch removal; sequence frame; static images; statistical analysis; Biological cells; Genetic algorithms; Gunshot detection systems; Image processing; Image restoration; Interpolation; Motion pictures; Noise reduction; Signal restoration; Statistical analysis;
Conference_Titel :
Image Analysis and Processing, 2001. Proceedings. 11th International Conference on
Conference_Location :
Palermo
Print_ISBN :
0-7695-1183-X
DOI :
10.1109/ICIAP.2001.957060