Entropy of enhanced image more than the original image

1. What is high entropy image?
2. What is entropy of a image?
3. How is entropy calculated in image processing?
4. Does histogram equalization increase or decrease entropy?

What is high entropy image?

In image processing, discrete entropy is a measure of the number of bits required to encode image data [41]. The higher the value of the entropy, the more detailed the image will be.

What is entropy of a image?

The entropy or average information of an image is a measure of the degree of randomness in the image. The entropy is useful in the context of image coding : it is a lower limit for the average coding length in bits per pixel which can be realized by an optimum coding scheme without any loss of information .

How is entropy calculated in image processing?

Entropy is a statistical measure of randomness that can be used to characterize the texture of the input image. Entropy is defined as -sum(p. *log2(p)) , where p contains the normalized histogram counts returned from imhist .

Does histogram equalization increase or decrease entropy?

Histogram equalization based contrast enhancement decreases entropy.