Abstract
A technique using Genetic Algorithms (GAs) for the optimisation of multidimensional grey-scale soft morphological filters is described, which has applications in archive film restoration. It applies specifically to the problem of film-dirt removal in archive film sequences. Because of ageing, scratches and film dirt, much valuable film archive material is unusable. There is therefore a demand for automatic techniques which can remove these film artifacts whilst preserving image structure, fine detail and without introducing motion blur.
The optimisation criterion is based on mean absolute error (MAE). The optimisation is undertaken using genetic algorithms. An artificial training set is constructed from within the archive material by selecting relatively clean areas and transferring examples of noise and dirt to these frames.
Examples of applying the techniques described to a real film sequence, provided by the British Broadcasting Corporation (BBC), are shown.
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© 2002 Kluwer Academic/Plenum Publishers
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Harvey, N.R., Marshall, S. (2002). GA Optimisation of Multidimensional Grey-Scale Soft Morphological Filters with Applications in Archive Film Restoration. In: Goutsias, J., Vincent, L., Bloomberg, D.S. (eds) Mathematical Morphology and its Applications to Image and Signal Processing. Computational Imaging and Vision, vol 18. Springer, Boston, MA. https://doi.org/10.1007/0-306-47025-X_15
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DOI: https://doi.org/10.1007/0-306-47025-X_15
Publisher Name: Springer, Boston, MA
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