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Inverse transformation plays an important role in which of the following Histogram processing Techniques?

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Inverse transformation plays an important role in which of the following Histogram processing Techniques?

(a) Histogram Linearization

(b) Histogram Equalization

(c) Histogram Matching

(d) None of the mentioned

The question was asked during an interview.

I would like to ask this question from Histogram Specification and Use of Histogram Statistics for Image Enhancement in chapter Image Enhancement of Digital Image Processing

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The correct choice is (c) Histogram Matching

Easy explanation: In Histogram Matching or Specification, z = G^-1[T(r)], r and z are gray level of input and output image and T & G are transformations.

In Histogram Linearization or Equalization s = T(r), r and s are gray level of input and output image and T is the only transformations.

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