DIS Image Processing & Enhancement 2

Question 1

Which histogram equalization technique adapts the contrast enhancement to localized regions of an image rather than the entire image?

Accepted Answer

CLAHE (Contrast Limited Adaptive Histogram Equalization)

Answer

CLAHE divides the image into tiles and applies histogram equalization locally while limiting contrast amplification to prevent noise over-enhancement.

Question 2

When applying an unsharp mask for sharpening, what does the 'amount' parameter control?

Accepted Answer

The strength of the edge enhancement applied

Answer

The 'amount' parameter in unsharp masking controls how strongly the edge detail is boosted relative to the blurred reference image.

Question 3

A noise reduction filter that replaces each pixel with the middle value of its neighborhood is called a:

Accepted Answer

Median filter

Answer

The median filter replaces each pixel with the median of surrounding pixels, making it highly effective at removing salt-and-pepper noise while preserving edges.

Question 4

In frequency domain image processing, what does applying a low-pass filter accomplish?

Accepted Answer

Blurs the image by attenuating high-frequency components

Answer

A low-pass filter allows low frequencies (smooth tones) to pass while blocking high frequencies (edges and noise), resulting in a blurred image.

Question 5

Which blending mode in image compositing multiplies the pixel values of two layers, always resulting in a darker image?

Accepted Answer

Multiply

Answer

Multiply mode multiplies the normalized pixel values of two layers, darkening the result since multiplying values less than 1 always produces a smaller value.

(DIS) Digital Imaging Specialist Certification Practice Test

(DIS) Digital Imaging Specialist Certification Practice Test

DIS Image Processing & Enhancement 2