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What is Understanding Histogram Equalization about?

Histogram equalization (HEQ) is a non-linear image processing technique aimed at achieving a uniform distribution of gray levels in an image, enhancing its visual contrast. It extends the concept of full-scale histogram stretch (FSHS) by transforming pixel values to create a flat histogram, which maximizes information content. The process involves deriving a transfer function based on the cumulative distribution function of the input image

Author

Hritik Anand

Language

EN