Normalization (image processing): Difference between revisions

Revision as of 16:33, 16 June 2025

Revision as of 20:07, 24 June 2025

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For example, if the intensity range of the image is 50 to 180 and the desired range is 0 to 255 the process entails subtracting 50 from each of pixel intensity, making the range 0 to 130. Then each pixel intensity is multiplied by 255/130, making the range 0 to 255.

Normalization might also be non -linear, thisas happens when there isn't a [[linear]]the relationship between <math>I</math> and <math>I_N</math> may not be [[linear]]. An example of non-linear normalization is when the normalization follows a [[sigmoid function]], in thatwhich case, the normalized image is computed according to the formula

:<math>I_N=(\text{newMax}-\text{newMin})\frac{1}{1+e^{-\frac{I-\beta}{\alpha}}}+\text{newMin}</math>