Abstract
Gray-scale reconstruction is formally defined for discrete images. A brief summary of the existing techniques to compute it is provided, and a hybrid algorithm that is an order of magnitude faster than any other algorithm is introduced. Some of its application to image filtering and segmentation are listed.

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