Abstract
In this paper, we present an efficient approach to digital color restoration, based on the idea of recovering the appearance of color rather than the original color signal, since, in most of the cases, for old films the original reference is missing, and new films or digital coding can be subject to severe gamut transformations. This approach is based on the application of algorithms inspired by the capabilities of the Human Vision System of automatically adjust to the variation of color and lightness in the scene. The proposed method allows more unsupervised restoration. We present an overview of the approach, characteristics of this family of algorithms, and restoration examples.
Highlights
Since its invention in the nineteenth century, cinema has become one of the most important media of popular culture, becoming next to the books, our historical memory
In digital movie restoration, there are cases in which the editing of artistic choices of the director may have introduced some characteristics in the frames that should not be removed by the application of the Spatial Color Algorithms (SCAs)
The digital restoration of color and dynamic is usually a manual or semi-automatic delicate operation performed by experts
Summary
Since its invention in the nineteenth century, cinema has become one of the most important media of popular culture, becoming next to the books, our historical memory. Martin Scorsese, the famous movie director, has started several years ago the challenge of making people aware about the need of a wide film restoration movement: “Movies touch our hearts, and awaken our vision, and change the way we see things. We conclude the paper presenting some examples of restoration we performed using the proposed approach (section 6), and a final discussion (section 7)
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