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This paper proposes an automatic system for the restoration of digital images of vintage colored postcards, employing the combined techniques of image equalization, background segmentation based on edge detection (using an extension of the standard difference of Gaussians filter), color enhancement, and noisy spots removal. Equalization and background segmentation are used to facilitate background...
This paper presents a new binarization method for color images of degraded historical document. The proposed method makes use of local image equalization based on color constancy, and an extension to the standard difference of Gaussians edge detection operator, XDoG. The binarization is achieved after three main steps: the first step removes undesirable degradation artifacts using a local image equalization...
In this paper, we propose an automatic system for restoration of old colored postcards that use multiple techniques combined as segmentation, color enhancement and noisy spots removal. The segmentation is used to separate the border region in order to facilitate the spots removal. To enhance colors, the overall document degradation is regarded as an illumination problem. This simplification allows...
We introduce an optimization algorithm, based on Creutz's microcanonical simulation technique, which has proven very efficient for non-convex optimization tasks associated with image-processing applications. Our algorithm should also constitute a useful heuristic for applications in other domains requiring combinatorial optimization searches.
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