Applying look-up tables to modify image appearance

Image histograms capture the way a scene is rendered using the available pixel intensity values. By analyzing the distribution of the pixel values over an image, it is possible to use this information to modify and possibly improve an image. This recipe explains how one can use a simple mapping function, represented by a look-up table, to modify the pixel values of an image.

How to do it...

A look-up table is a simple one-to-one (or many-to-one) function that defines how pixel values are transformed into new values. It is a 1D array with, in the case of regular gray-level images, 256 entries. Entry i of the table gives the new intensity value of the corresponding gray level, that is:

newIntensity= ...

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