The color characterization of professional imaging devices typically involves the capture of a reference color target under the scene-specific lighting conditions and the use of dedicated profiling software. However, the limited set of color patches on the target may not adequately represent the reflection spectra found in the scene. We present a solution developed in collaboration with a camera manufacturer for the automatic color characterization of the sensors without the need of a physical color target. The optimal color transforms are computed based on the individually measured sensor spectral sensitivities, computer generated sets of color spectra forming a virtual characterization target and a mathematical model of the camera. The use of a virtual target enables the optimization of the color transform for specific image capturing situations by selective generation of the reflection spectra.
KEYWORDS: Data archive systems, Photography, Data storage, Digital recording, RGB color model, Analog electronics, Visualization, Binary data, Digital photography, Computer programming
In the archiving and museum communities, the long-term preservation of artworks has traditionally been guaranteed by
making duplicates of the original. For photographic reproductions, digital imaging devices have now become standard,
providing better quality control and lower costs than film photography. However, due to the very short life cycle of
digital data, losses are unavoidable without repetitive data migrations to new file formats and storage media. We present
a solution for the long-term archiving of digital images on color microfilm (Ilfochrome® Micrographic). This extremely
stable and high-resolution medium, combined with the use of a novel laser film recorder is particularly well suited for
this task. Due to intrinsic limitations of the film, colorimetric reproductions of the originals are not always achievable.
The microfilm must be first considered as an information carrier and not primarily as an imaging medium. Color
transformations taking into account the film characteristics and possible degradations of the medium due to aging are
investigated. An approach making use of readily available color management tools is presented which assures the
recovery of the original colors after re-digitization. An extension of this project considering the direct recording of
digital information as color bit-code on the film is also introduced.
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