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Image Compression Quiz

Total questions: 10

Worksheet time: 5mins

Name
Class
Date
1.

Which of the following is NOT an image compression algorithm mentioned in the document?

a)

DCT-based coding

b)

Quantization

c)

Run-length coding

d)

Fourier transform

2.

Which compression method is unique to video compression?

a)

Entropy Coding

b)

Motion Estimation & Compensation

c)

Huffman coding

d)

Runlength coding

3.

What is JPEG most commonly used for?

a)

Vector graphics

b)

Line drawings

c)

Photographs and similar continuous-tone bitmap images

d)

Text documents

4.

In the quantization step of a lossy image encoder, what is the purpose of representing transform coefficients in a finite number of bits?

a)

To increase image quality

b)

To reduce the number of bits needed

c)

To enhance color depth

d)

To improve image resolution

5.

In transform image coding, how is an image typically divided?

a)

Into a number of 3D blocks

b)

Into a number of 2D blocks

c)

Into a number of 1D lines

d)

Into a number of 4D cubes

6.

What is the value of $ C(u) $ and $ C(v) $ when $ u = 0 $ and $ v = 0 $ in the 2-D DCT?

a)

1

b)

0

c)

12\frac{1}{\sqrt{2}}

d)

2

7.

In the DCT domain, what is the result of applying DCT to the pixel domain sequence [128 128 128 128 128 128 128 128]?

a)

[362 0 0 0 0 0 0 0]

b)

[181 164 0 -57 0 38 0 -32]

c)

[181 67 0 139 0 92 0 -13]

d)

[181 32 0 38 0 57 0 164]

8.

Which of the following sequences is a result of DCT applied to [128 128 128 128 0 0 0 0] in the pixel domain?

a)

[181 164 0 -57 0 38 0 -32]

b)

[362 0 0 0 0 0 0 0]

c)

[181 67 0 139 0 92 0 -13]

d)

[181 32 0 38 0 57 0 164]

9.

What is the purpose of the Discrete Cosine Transform (DCT) as shown in the diagram?

a)

To compress data by transforming it into a frequency domain.

b)

To increase the size of the data.

c)

To convert data into binary form.

d)

To encrypt data for security purposes.

10.

What is the result of applying the Inverse Discrete Cosine Transform (IDCT) in the diagram?

a)

The original data is perfectly reconstructed.

b)

The data is further compressed.

c)

The data is transformed into a different format.

d)

The data is approximately reconstructed.