adplus-dvertising
frame-decoration

Question

Which of the following shows three basic types of functions used frequently for image enhancement?

a.

Linear, logarithmic and inverse law

b.

Power law, logarithmic and inverse law

c.

Linear, logarithmic and power law

d.

Linear, exponential and inverse law

Answer: (b).Power law, logarithmic and inverse law

Engage with the Community - Add Your Comment

Confused About the Answer? Ask for Details Here.

Know the Explanation? Add it Here.

Q. Which of the following shows three basic types of functions used frequently for image enhancement?

Similar Questions

Discover Related MCQs

Q. Which expression is obtained by performing the negative transformation on the negative of an image with gray levels in the range[0,L-1] ?

Q. What is the general form of representation of log transformation?

Q. What is the name of process used to correct the power-law response phenomena?

Q. Which of the following transformation function requires much information to be specified at the time of input?

Q. In contrast stretching, if r1=s1 and r2=s2 then which of the following is true?

Q. In contrast stretching, if r1=r2, s1=0 and s2=L-1 then which of the following is true?

Q. In contrast stretching, if r1≤r2 and s1≤s2 then which of the following is true?

Q. In which type of slicing, highlighting a specific range of gray levels in an image often is desired?

Q. Which of the following depicts the main functionality of the Bit-plane slicing?

Q. Which of the following is the primary objective of sharpening of an image?

Q. Image sharpening process is used in electronic printing.

Q. In spatial domain, which of the following operation is done on the pixels in sharpening the image?

Q. Image differentiation enhances the edges, discontinuities and deemphasizes the pixels with slow varying gray levels.

Q. In which of the following cases, we wouldn’t worry about the behaviour of sharpening filter?

Q. Which of the following is the valid response when we apply a first derivative?

Q. Which of the following is not a valid response when we apply a second derivative?

Q. If f(x,y) is an image function of two variables, then the first order derivative of a one dimensional function, f(x) is:

Q. Isolated point is also called as noise point.

Q. What is the thickness of the edges produced by first order derivatives when compared to that of second order derivatives?

Q. First order derivative can enhance the fine detail in the image compared to that of second order derivative.