Diferrence between normalization of a histogram and equalization in image processing

1. What is the difference between histogram equalization and histogram normalization?
2. What is histogram normalization in image processing?
3. What does normalization in image processing?
4. What is the difference between histogram equalization and contrast stretching?

What is the difference between histogram equalization and histogram normalization?

The equalize will attempt to produce a histogram with equal amounts of pixels in each intensity level. This can produce unrealistic images since the intensities can be radically distorted but can also produce images very similar to normalization which preserves relative levels which the equalization process does not.

What is histogram normalization in image processing?

Histogram normalization is a technique to distribute the frequencies of the histogram over a wider range than the current range. This technique is used in image processing too. There we do histogram normalization for enhancing the contrast of poor contrasted images.

What does normalization in image processing?

In image processing, normalization is a process that changes the range of pixel intensity values. Applications include photographs with poor contrast due to glare, for example. Normalization is. sometimes called contrast stretching or histogram stretching.

What is the difference between histogram equalization and contrast stretching?

In Histogram equalization, you want to flatten the histogram into a uniform distribution. In contrast stretching, you manipulate the entire range of intensity values. Like what you do in Normalization. Note that contrast stretching is also called Histogram stretching.