Scratch detection and removal from static images using simple statistics and genetic algorithms

Isgrò, F.

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16 Citazioni (Scopus)

Abstract

This paper investigates the removal of line scratches from old movies and gives a twofold contribution. First, it presents sample 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, 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 transformation is the starting point of the optimisation process.
Lingua originaleEnglish
Stato di pubblicazionePublished - 2001

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Genetic algorithms
Statistics
Chromosomes
Interpolation

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition

Cita questo

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abstract = "This paper investigates the removal of line scratches from old movies and gives a twofold contribution. First, it presents sample 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, 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 transformation is the starting point of the optimisation process.",
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AB - This paper investigates the removal of line scratches from old movies and gives a twofold contribution. First, it presents sample 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, 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 transformation is the starting point of the optimisation process.

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