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A contrast stretching result been obtained by setting (r1, s1) = (rmin, 0) and (r2, s2) = (rmax, L – 1), where, r and s are gray-values of image before and after processing respectively, L is the max gray value allowed and rmax and rmin are maximum and minimum gray-values in image respectively. What should we term the transformation function if r1 = r2 = m, some mean gray-value.

Correct Answer: Thresholding function
From (r1, s1) = (rmin, 0) and (r2, s2) = (rmax, L – 1), we have s1 = 0 and s2 = L – 1 and if r1 = r2 = m is set then the result becomes r1 = r2, s1 = 0 and s2 = L – 1, i.e. a thresholding function.

A high contrast image and a dark image will have what kind of histogram respectively, when the histogram, h(rk) = nk, rk the kth gray level and nk total pixels with gray level rk, is plotted nk versus rk? The histogram that are concentrated on the dark side of gray scale. The histogram whose component are biased toward high side of gray scale. The histogram that is narrow and centered toward the middle of gray scale. The histogram that covers wide range of gray scale and the distribution of pixel is approximately uniform.

When is the contrast stretching transformation a linear function, for r and s as gray-value of image before and after processing respectively?

When is the contrast stretching transformation a thresholding function, for r and s as gray-value of image before and after processing respectively?

What condition prevents the intensity artifacts to be created while processing with contrast stretching, if r and s are gray-values of image before and after processing respectively?

What is the technique for a gray-level transformation function called, if the transformation would be to produce an image of higher contrast than the original by darkening the levels below some gray-level m and brightening the levels above m in the original image.

The power-law transformation is given as: s = crᵞ, c and ᵞ are positive constants, and r is the gray-level of image before processing and s after processing. Then, for what value of c and ᵞ does power-law transformation becomes identity transformation?

The digitization process i.e. the digital image has M rows and N columns, requires decisions about values for M, N, and for the number, L, of max gray levels is an integer power of 2 i.e. L = 2k, allowed for each pixel. If we assume that the discrete levels are equally spaced and that they are integers then they are in the interval __________ and Sometimes the range of values spanned by the gray scale is called the ________ of an image. and static range respectively b) and dynamic range respectively c) and static range respectively d) and dynamic range respectively

If r be the gray-level of image before processing and s after processing then which expression defines the negative transformation, for the gray-level in the range ?

If r be the gray-level of image before processing and s after processing then which expression defines the power-law transformation, for the gray-level in the range ?

If r be the gray-level of image before processing and s after processing then which expression helps to obtain the negative of an image for the gray-level in the range ?