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Dye Purification. An Image-processing Technique for the Digital Restoration of Chromogenic Film


Trumpy, Giorgio; Flueckiger, Barbara (2018). Dye Purification. An Image-processing Technique for the Digital Restoration of Chromogenic Film. In: 2018 Colour and Visual Computing Symposium (CVCS), Norway, 19 September 2018 - 20 September 2018, CVCS.

Abstract

The majority of color film heritage shot between the 1940s and the 1980s is faded. The bleaching of dyes cannot be reversed with chemical methods. Digital technologies can provide the means to recover faded colors. Still, the result of the digital unfading depends on the amount of residual color present in the film, the quality of the image capture operation, and the efficacy of the digital image processing. This paper first discusses the strategies to best capture the residual color information in the film, and then presents a processing method that consistently improves the digital restoration of the most common type of fading: the bleaching of the cyan dye that results in the typical pinkish cast of historical photographs.

Abstract

The majority of color film heritage shot between the 1940s and the 1980s is faded. The bleaching of dyes cannot be reversed with chemical methods. Digital technologies can provide the means to recover faded colors. Still, the result of the digital unfading depends on the amount of residual color present in the film, the quality of the image capture operation, and the efficacy of the digital image processing. This paper first discusses the strategies to best capture the residual color information in the film, and then presents a processing method that consistently improves the digital restoration of the most common type of fading: the bleaching of the cyan dye that results in the typical pinkish cast of historical photographs.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Cinema Studies
Dewey Decimal Classification:700 Arts
900 History
Scopus Subject Areas:Physical Sciences > Artificial Intelligence
Physical Sciences > Computer Vision and Pattern Recognition
Language:English
Event End Date:20 September 2018
Deposited On:10 Dec 2018 09:52
Last Modified:05 Jun 2022 07:03
Publisher:CVCS
ISBN:978-1-5386-5645-7
OA Status:Green
Publisher DOI:https://doi.org/10.1109/CVCS.2018.8496726
  • Content: Published Version
  • Language: English