Wednesday, 25 March 2026

Digital Image Processing - Assignment 4

                                         Subject Name: Digital Image Processing

              

Subject Code: ECE-308T      Semester: 6th


Assignment No. 4



Bloom’s Taxonomy Levels:  1. Remember  2. Understand  3. Apply  4. Analyze  5. Evaluate 6. Create



Q. No.

Question

BTL level

CO

1.

Define channel encoder.

1

4

2.

Differentiate between lossless and lossy compression and explain the transform coding system with a neat diagram.

2

3

3.

What are three categories of constant area coding?

1

4

4.

Define Huffman coding with suitable example.

3

4

5

Explain regional descriptors.

2

4

6.

What is data redundancy? Explain three basic data redundancy?

1

4

7.

Define coding redundancy?

1

4

8.

What is segmentation? Write the applications of segmentation.


3

4

Digital Image Processing - Assignment -3

 


Subject Name: Digital Image Processing

              

Subject Code: ECE-308T      Semester: 6th


Assignment No. 3



Bloom’s Taxonomy Levels:  1. Remember  2. Understand  3. Apply  4. Analyze  5. Evaluate 6. Create


Submission Date - 10 April 2026.
Mail Id - vaibhavnijhawan@mait.ac.in

Q. No.

Question

BTL level

CO

1.

What are the two approaches for blind image restoration? Explain in detail.

1

3

2.

Which is the most frequent method to overcome the difficulty to formulate the spatial relocation of pixels?

1

3

3.

Explain additivity property in Linear Operator? 

  1. How is a degradation process modeled? 

  2. Explain homogeneity property in Linear Operator? 

2

3

4.

Explain the inverse filtering with suitable examples.

1

3

5

Give the relation for degradation model for continuous function? 

a. Define circulant matrix? 

b. What is the concept algebraic approach?

2

3

6.

What is image degradation and restoration? Explain them with example.

3

3

7.

Write the properties of Singular value Decomposition (SVD)?

4

3

8.

What are the three methods of estimating the degradation function?

1

3

9.

What are the types of noise models?

1

3