Image Filtering

The transformations technique which performs operations on the neighborhood of every pixel is

• Intensity transformation

• Spatial filtering

What is the purpose of image negatives?

• To reverse the intensity levels of a digital image

• To map a narrow range of low intensity values into a wider range of output levels

• To produce a two-level (binary) image

What is the formula for the negative transformation of an image?

• s = L - 1 - r

• s = c * log(1 + r)

• s = r^2

• s = T(r)

Which type of intensity transformation maps a narrow range of low intensity values into a wider range of output levels?

• Linear transformation

• Logarithmic transformation

• Power-law transformation

• Thresholding transformation

Which type of intensity transformation map a narrow range of dark input values into a wider range of output values?

• Linear transformation

• Logarithmic transformation

• Power-law transformation

• Thresholding transformation

The most populated bins of the light image are biased toward the lower end of the scale

• True

• False

Histogram of the high-contrast image cover a wide range of the intensity scale

• True

• False

This picture represent the histogram for

• high contrast image

• low contrast image

• dark image

Which one is not the steps for histogram equalization

• Compute the histogram of the images

• Calculate the normalized sum of histogram

• Redistributes the image's intensity

• Transform the input image to an output image

The spatial filters which used to reduce sharp transitions in intensity is

• Smoothing (high pass) filter

• Sharpening (high pass) filter

• Smoothing (low pass) filter

• Sharpening (low pass) filter