Perceptual approach for unsupervised digital color restoration of cinematographic archives

Majed Chambah; Alessandro Rizzi; Carlo Gatta; Bernard Besserer; Daniele Marini

doi:10.1117/12.472019

13 January 2003 Perceptual approach for unsupervised digital color restoration of cinematographic archives

Majed Chambah, Alessandro Rizzi, Carlo Gatta, Bernard Besserer, Daniele Marini

Proceedings Volume 5008, Color Imaging VIII: Processing, Hardcopy, and Applications; (2003) https://doi.org/10.1117/12.472019
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States

Abstract

The cinematographic archives represent an important part of our collective memory. We present in this paper some advances in automating the color fading restoration process, especially with regard to the automatic color correction technique. The proposed color correction method is based on the ACE model, an unsupervised color equalization algorithm based on a perceptual approach and inspired by some adaptation mechanisms of the human visual system, in particular lightness constancy and color constancy. There are some advantages in a perceptual approach: mainly its robustness and its local filtering properties, that lead to more effective results. The resulting technique, is not just an application of ACE on movie images, but an enhancement of ACE principles to meet the requirements in the digital film restoration field. The presented preliminary results are satisfying and promising.

Citation Download Citation

Majed Chambah, Alessandro Rizzi, Carlo Gatta, Bernard Besserer, and Daniele Marini "Perceptual approach for unsupervised digital color restoration of cinematographic archives", Proc. SPIE 5008, Color Imaging VIII: Processing, Hardcopy, and Applications, (13 January 2003); https://doi.org/10.1117/12.472019

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