Image Processing Worksheet: Quantization and Dequantization, Assignments of Mathematics

This worksheet focuses on the concepts of quantization and dequantization in image processing. Students are required to compute quantization matrices with uniform and varying step sizes, perform scalar quantization, and compute distortions after requantization. A 4x4 matrix extracted from a clown image and its corresponding 2d discrete cosine transform (dct) coefficients.

Typology: Assignments

Pre 2010

Uploaded on 08/13/2009

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Mathematics of Image Processing
Worksheet #4 - Quantization -Dequantization
Name: Box #:
Consider the 4x4 matrix which has been plucked from the clown image
Y=
2222
61 69 69 69
69 61 69 61
61 69 61 61
The 2D DCT of Yis:
Z=
197.0000 0 4.0000 0
78.6179 3.6569 1.5307 0.8284
67.0000 2.1648 0 5.2263
35.6261 4.8284 3.6955 7.6569
1. Now write down two different quantization matrices:
Q1=
Q1=
In the first one pick a uniform step for all frequencies. In the second one let the step size
vary with the frequencies.
2. Compute the results of scalar quantization
Z1=
Z2=
1
pf2

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Mathematics of Image Processing

Worksheet #4 - Quantization -Dequantization

Name: Box #:

Consider the 4x4 matrix which has been plucked from the clown image

Y =

The 2D DCT of Y is:

Z =

  1. Now write down two different quantization matrices:

Q 1 =

Q 1 =

In the first one pick a uniform step for all frequencies. In the secondone let the step size

vary with the frequencies.

  1. Compute the results of scalar quantization

Z 1 =

Z 2 =

  1. Now requantize the matrices

W 1 =

W 2 =

  1. Compute the distortions.
  2. What do you observe?