Download PTU M.Tech IT 1st Semester 72633 DIGITAL IMAGE PROCESSING Question Paper

Download PTU. I.K. Gujral Punjab Technical University (IKGPTU) M.Tech IT 1st Semester 72633 DIGITAL IMAGE PROCESSING Question Paper.

1 | M-72633 (S9)-2194
Roll No. Total No. of Pages : 02
Total No. of Questions : 08
M.Tech.(IT) (2015 & Onwards)/(CSE Engg.) (2015 to 2017) (Sem.?1)
DIGITAL IMAGE PROCESSING
Subject Code : MTCS-105
M.Code : 72633
Time : 3 Hrs. Max. Marks : 100

INSTRUCTIONS TO CANDIDATES :
1. Attempt any FIVE questions out of EIGHT questions.
2. Each question carries TWENTY marks.

Q1. List the various characteristics of the following :
(a) Three dimensional image processing
(b) Digital image representation
Q2. Explain the following concepts with suitable examples :
(a) Removal of blur caused by uniform linear motion
(b) Redundancy and fidelity criteria in image compression
Q3. Differentiate between the following :
(a) Slant transform and KL Transform
(b) Constrained and Unconstrained image restoration
Q4. Write short notes on the following :
(a) Image subtraction and image averaging in image enhancement
(b) Hit and miss algorithms in image segmentation
Q5. Discuss the various application areas of the following :
(a) Color image processing
(b) Image segmentation
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1 | M-72633 (S9)-2194
Roll No. Total No. of Pages : 02
Total No. of Questions : 08
M.Tech.(IT) (2015 & Onwards)/(CSE Engg.) (2015 to 2017) (Sem.?1)
DIGITAL IMAGE PROCESSING
Subject Code : MTCS-105
M.Code : 72633
Time : 3 Hrs. Max. Marks : 100

INSTRUCTIONS TO CANDIDATES :
1. Attempt any FIVE questions out of EIGHT questions.
2. Each question carries TWENTY marks.

Q1. List the various characteristics of the following :
(a) Three dimensional image processing
(b) Digital image representation
Q2. Explain the following concepts with suitable examples :
(a) Removal of blur caused by uniform linear motion
(b) Redundancy and fidelity criteria in image compression
Q3. Differentiate between the following :
(a) Slant transform and KL Transform
(b) Constrained and Unconstrained image restoration
Q4. Write short notes on the following :
(a) Image subtraction and image averaging in image enhancement
(b) Hit and miss algorithms in image segmentation
Q5. Discuss the various application areas of the following :
(a) Color image processing
(b) Image segmentation
2 | M-72633 (S9)-2194
Q6. Explain the various limitations of the following :
(a) 2D orthogonal and unitary transforms
(b) RGB model
Q7. Discuss the implementation details of the following :
(a) Sampling and quantization
(b) 2D linear space invariant systems
Q8. Write the development stages of :
(a) Arithmetic coding techniques for image compression
(b) Algebraic approach to restoration











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This post was last modified on 13 December 2019