Question
a.
square error filter
b.
most square error filter
c.
least square error filter
d.
error filter
Posted under Digital Image Processing (DIP)
Engage with the Community - Add Your Comment
Confused About the Answer? Ask for Details Here.
Know the Explanation? Add it Here.
Q. Minimum mean square error filter is also called
Similar Questions
Discover Related MCQs
Q. High frequency components are passed by
View solution
Q. One that is not a type of a noise is
View solution
Q. Filter that replaces the pixel value with the minimum values of intensity levels is
View solution
Q. FFT stands for
View solution
Q. Automatically determined filters provides inferior results as compared to
View solution
Q. Frequencies in predefined neighborhood are rejected by
View solution
Q. Degraded image is given in a
View solution
Q. Filter that computes midpoint between min and max value is called
View solution
Q. Low frequency components are passed by
View solution
Q. Principle sources of noise arise during image
View solution
Q. Periodic noises arise from
View solution
Q. Function having both properties of additivity and homogeneity is called
View solution
Q. Fourier spectrum of noises are constant and usually called
View solution
Q. Salt and pepper noise also referred to the term
View solution
Q. Constrained least squares filter does not implies best in
View solution
Q. Salt and pepper noise can interchangeably be used with
View solution
Q. Gaussian shape function has no
View solution
Q. Filter that replaces the pixel value with the maximum values of intensity levels is
View solution
Q. Which of the following is a receptor in the retina of human eye?
View solution
Q. How is image formation in the eye different from that in a photographic camera
View solution
Suggested Topics
Are you eager to expand your knowledge beyond Digital Image Processing (DIP)? We've curated a selection of related categories that you might find intriguing.
Click on the categories below to discover a wealth of MCQs and enrich your understanding of Computer Science. Happy exploring!