/exposure_fusion

Exposure fusion is a technique that creates a single image with optimal detail from a set of multi-exposed images. As developed by Tom Mertens et al., the proposed algorithm computes relevant quality measures; Contrast, Saturation, and Well-Exposedness. These measures are then combined to create a weight map used to blend each of the multi-exposed images to a single image with best exposure.

Primary LanguagePython

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