Title :
Scratch detection and removal from static images using simple statistics and genetic algorithms
Author :
Tegolo, Domenico ; Isgrò, Francesco
Author_Institution :
Dipt. di Matematica e Applicazioni, Palermo Univ., Italy
fDate :
6/23/1905 12:00:00 AM
Abstract :
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 scratch 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, 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 :
feature extraction; genetic algorithms; image restoration; image sequences; interpolation; object detection; statistical analysis; genetic algorithm; genetic algorithms; grey levels; image sequences; old movies; optimisation problem; scratch detection; scratch removal; simple statistics; static images; Color; Genetic algorithms; Image processing; Image restoration; Interpolation; Motion pictures; Noise reduction; Signal restoration; Statistical analysis; Statistics;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.959004