A Genetic Algorithm for Scratch Removal in Static Images
نویسندگان
چکیده
This paper investigates the removal of line scratches from old niovies and gives a twofold contribution. First, it presents simple technique for detecting the scratches, based on an analysis of the statistics of the grey levels. Second, the scratches removal is approached as an optiniisation 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 genetic algorithm. The central column of the line scratch once detected is changed with a conventional linear interpolation; this transforniation is the starting point of the optimisation process.
منابع مشابه
Scratch detection and removal from static images using simple statistics and genetic algorithms
This paper investigates the removal of line scratches from old movies and gives a twofold contribution. First, it presents simple technique for detecting the scratches, based on an analysis of the statistics of the grey levels. Second, the scratches removal is approached as an optimisation problem, and it is solved by using a genetic algorithm. The method can be classified as a static approach,...
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