Digital Image Processing-Unit II

__________refers to accepting or rejecting frequency components.

• Noise removal

• Filtering

• Masking

• Hiding

Noise reduction is obtained by blurring the image using smoothing filter

• True

• False

• Both a and b

• None of the above

Kernel is otherwise called as____________

• Window

• Template

• Spatial Mask

• All the above

_________________is a process of moving a filter mask over an image and computing the sum of products at each location.

• Convolution

• Correlation

• Point by point processing

• masking

_____________is measurement of effect of one signal on the other signal.

• Convolution

• Correlation

• Windowing

• Masking

__________refers to the aggregate of pixels composing an image.

• Frequency domain

• Frequency filtering

• Spatial domain

• Spatial filtering

What is the difference between Convolution and Correlation?

• Image is pre-rotated by 180 degree for Correlation

• Image is pre-rotated by 180 degree for Convolution

• Image is pre-rotated by 90 degree for Correlation

• Image is pre-rotated by 90 degree for Convolution

Convolution and Correlation are functions of _____________

• Distance

• Time

• Intensity

• Displacement

Which of the following expression is used to denote spatial domain process?

• g(x,y)=T[f(x,y)]

• f(x+y)=T[g(x+y)]

• g(xy)=T[f(xy)]

• g(x-y)=T[f(x-y)]

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

• Linear, logarithmic and inverse law

• Power law, logarithmic and inverse law

• Linear, logarithmic and power law

• Linear, exponential and inverse law