![]() Other than photographers using histogram equalization to correct under/over-exposed images, the most widely used histogram equalization application can be found in the medical field. We can further improve histogram equalization by applying an algorithm called Contrast Limited Adaptive Histogram Equalization (CLAHE), resulting in higher quality output images. The result of applying histogram equalization is an image with higher global contrast. ![]()
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