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For a local enhancement using mean and variance, there is one condition: σs(x, y) ≤ k2DG, where, MDG is global standard deviation, k2 a positive constant and σs(x, y) a measure of contrast at point (x, y). Then, which fact is true for k2 if its values is less than 1.0?

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For a local enhancement using mean and variance, there is one condition:  σs(x, y) ≤ k2DG, where, MDG is global standard deviation, k2 a positive constant and σs(x, y) a measure of contrast at point (x, y). Then, which fact is true for k2 if its values is less than 1.0?

(a) Enhancement is being done on light areas

(b) Enhancement is being done on dark areas

(c) Enhancement is being done independent of value of k0

(d) None of the mentioned

This question was addressed to me during an interview.

My question is from Histogram Specification and Use of Histogram Statistics for Image Enhancement in chapter Image Enhancement of Digital Image Processing

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Right answer is (b) Enhancement is being done on dark areas

For explanation I would say: In the condition σs(x, y) ≤ k2DG, k0 is a positive constants that helps in enhancing light areas if value is greater than 1.0 and dark areas if value is less than 1.0.

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