Towards the automated restoration of old photographic prints: a survey

Stanco, Filippo; Ramponi, Giovanni; Polo, Andrea de

doi:10.1109/eurcon.2003.1248221

Cited by 28 publications

(13 citation statements)

References 11 publications

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“…Until recent times, the most common way to restore photographs was to restore the original using a variety of chemical techniques [1]. In addition to the high cost associated with this, chemical operations are risky due to their non-reversible and, when mistakes are made, potentially destructive nature.…”

Section: Introductionmentioning

confidence: 99%

Restoration of images damaged by semi-transparent water blotches using localized image enhancement

2008

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Vast libraries of historic photographs are currently degrading due to the effects of semi-transparent water blotches. Most current restoration techniques involve heavy user interaction and are therefore too expensive to use for large quantities of images. This paper introduces the Localized Logarithmic Image Restoration Algorithm, which provides an automated system to restore the water blotches found in old photographs. The Algorithm utilizes a new localized image processing framework that allows it to improve upon existing restoration methods. This framework can be used for a variety of image processing applications. In the presented application of blotch removal, new logarithmic and statistical equations are introduced and used within the localized framework to complete the restoration. As shown by intensive computer simulations, the Algorithm produces enhanced results when compared to the existing automated algorithm. Improvements include superior edge removal around the blotch, better local contrast preservation, and expanded saturation reduction capabilities. In addition to the enhanced restoration quality of the results, the simulations are also promising with respect to computational time.

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Section: Introductionmentioning

confidence: 99%

Restoration of images damaged by semi-transparent water blotches using localized image enhancement

2008

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“…На оцифрованных изображениях, как правило, при-сутствует шум в виде пятен различного рода [3][4][5], по-рождаемых различного рода возмущениями:…”

Section: Introductionunclassified

Color Images Disturbance Smoothing Using Neuro-Fuzzy Filter

Bodiansky¹,

Kulishova²

2011

Radio Electronics, Computer Science, Control

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“…In a slightly different direction, a technique was developed to remove reflections from within the photographic content itself [Szeliski et al 2000]. For an overview of of photograph restoration techniques, the reader may refer to [Stanco et al 2003]. However, these methods generally focus on a scanned image of a photograph and usually only handle standard photographic prints.…”

Section: Introductionmentioning

confidence: 99%