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Digital Image Processing Quiz

Total questions: 20

Worksheet time: 7mins

Name
Class
Date
1.

What does the term "Pixel" stand for?

a)

Picture Extraction Logic

b)

Picture Element

c)

Picture Enhancement Level

d)

Picture Encoding Language

2.

What is the smallest element of an image on a computer display?

a)

Bit

b)

Byte

c)

Pixel

d)

Resolution

3.

Which component determines the color of a pixel?

a)

Graphics card

b)

Number of bits

c)

Matrix size

d)

Display resolution

4.

What is used to calculate the total number of pixels in an image?

a)

Total Rows + Total Columns

b)

Rows × Columns

c)

Total Rows ÷ Columns

d)

Columns ÷ Rows

5.

What is the gray level of an 8-bit image?

a)

0

b)

128

c)

255

d)

512

6.

In a binary image, what values can a pixel take?

a)

0 and 255

b)

0 and 1

c)

1 and 2

d)

128 and 255

7.

Which is an example of a binary image?

a)

X-ray

b)

RGB photo

c)

Barcode

d)

Medical MRI

8.

What is the purpose of quantization in digital image processing?

a)

Increase intensity levels

b)

Compress data and reduce complexity

c)

Enhance resolution

d)

Reduce file size only

9.

What happens in an image with low quantization?

a)

Sharp details are retained

b)

Posterization occurs

c)

Colors are enhanced

d)

Pixel size increases

10.

Which process converts a continuous image into a discrete form?

a)

Quantization

b)

Sampling

c)

Compression

d)

Resampling

11.

What determines the spatial resolution of an image?

a)

Sampling

b)

Quantization

c)

Color depth

d)

Pixel depth

12.

What does RGB stand for in color image representation?

a)

Red, Gray, Blue

b)

Resolution, Green, Bit

c)

Red, Green, Blue

d)

Rotational Gradient Background

13.

Which type of image has only two intensity levels?

a)

Grayscale

b)

Binary

c)

Color

d)

RGB

14.

What determines the intensity resolution of an image?

a)

Sampling

b)

Quantization

c)

File Format

d)

Bit Depth

15.

What happens when sampling is reduced?

a)

Image quality improves

b)

Image resolution decreases

c)

Image size increases

d)

More details are retained

16.

Which type of image representation is common for medical X-rays?

a)

Binary

b)

Grayscale

c)

RGB

d)

High-Resolution Color

17.

What do high sampling and quantization levels result in?

a)

Low-quality images

b)

Compressed file sizes

c)

High-quality images

d)

Reduced computational demands

18.

What is the main challenge with high sampling?

a)

Increased storage requirements

b)

Reduced computational demands

c)

Poor image quality

d)

Fewer intensity levels

19.

What is the formula for calculating the total number of pixels?

a)

Total Rows + Total Columns

b)

Rows × Columns

c)

Rows - Columns

d)

Rows ÷ Columns

20.

What is the role of CCD in digital images?

a)

Reduces noise

b)

Increases resolution and smoothness

c)

Decreases pixel size

d)

Enhances pixel color depth