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Types of Noise in Digital Images

Total questions: 15

Worksheet time: 8mins

Name
Class
Date
1.

What is the appearance of luminance noise in digital images?

a)

Noticeable horizontal/vertical stripes

b)

Random variations in brightness

c)

Distorted patches of colored pixels

d)

Scattered black and white pixels

2.

Which type of noise is often pronounced in the blue channel?

a)

Banding Noise

b)

Gaussian Noise

c)

Chrominance Noise

d)

Luminance Noise

3.

What causes banding noise in digital images?

a)

Sensor read-out issues

b)

Demosaicing errors

c)

Faulty sensor pixels

d)

Coherent imaging systems

4.

Which noise type is characterized by a granular, high-frequency texture?

a)

Salt-and-Pepper Noise

b)

Speckle Noise

c)

Poisson Noise

d)

Fixed Pattern Noise

5.

What is a common cause of Gaussian noise?

a)

Small sensor size

b)

Long exposure

c)

High ISO

d)

Electronic circuit noise

6.

Which noise type appears as scattered black and white pixels?

a)

Poisson Noise

b)

Chrominance Noise

c)

Salt-and-Pepper Noise

d)

Speckle Noise

7.

What is a primary cause of Poisson noise?

a)

Aggressive post-processing

b)

Electronic interference

c)

Random nature of light

d)

Sensor manufacturing imperfections

8.

Which noise type is associated with consistent, non-random patterns?

a)

Banding Noise

b)

Fixed Pattern Noise

c)

Chrominance Noise

d)

Luminance Noise

9.

What is a common source of noise in digital images?

a)

High ISO

b)

Large sensor size

c)

Low ISO

d)

Short exposure

10.

What is a potential impact of noise on digital images?

a)

Increased color accuracy

b)

Improved image analysis

c)

Reduced dynamic range

d)

Enhanced detail

11.

Which filter type averages pixel values in a neighborhood?

a)

Gaussian Blur

b)

Median Filter

c)

Custom Kernel

d)

Mean Filter

12.

Which filter is good for reducing salt-and-pepper noise?

a)

Custom Kernel

b)

Gaussian Blur

c)

Median Filter

d)

Mean Filter

13.

What is a weakness of the Gaussian Blur filter?

a)

Slower processing

b)

Can still blur important details

c)

Blurs edges

d)

Can cause distortion if poorly designed

14.

What is a strength of using a custom kernel filter?

a)

Good for salt-and-pepper noise

b)

Simple and fast

c)

Smooths naturally

d)

Highly flexible

15.

What can aggressive post-processing introduce in digital images?

a)

Reduced sensor temperature

b)

Improved dynamic range

c)

Artifacts resembling noise

d)

Enhanced color accuracy