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Gujarat Technological UniversitySummer 2026 Examination

GTU 3161604 Image Processing Summer 2026 Paper Solution & PDF

B.E. · IT Engineering · Semester 6 · Subject Code: 3161604
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Total Marks70 MarksExternal theory exam
Passing Marks23 Marks33% minimum cutoff
Exam Duration2.5 Hours10:30 AM – 1:00 PM
Paper Structure5 QuestionsWith internal OR choices
Jump toQ1Q2Q3Q4Q5

Question 1

14 MarksMedium
(a)
Define Dynamic Range of the digital image.
3 Marks
(b)
Calculate the number of bits required to store a 256 X 256 image with 32 gray levels.
4 Marks
(c)

Explain the structure of the human eye. Draw a labeled diagram and describe the function of each part in the process of vision.

7 Marks

Question 2

14 MarksMedium
(a)
Compare binary Image & Grayscale Image.
3 Marks
(b)
Explain how salt-and-pepper noise can be removed from a digital image.
4 Marks
(c)

Explain the working of Prewitt and Sobel operators for edge detection in digital images

7 Marks
OR OPTION
(c)
Define sampling and quantization in digital image processing.
7 Marks

Question 3

14 MarksMedium
(a)
Discuss Different Distance Measure techniques.
3 Marks
(b)
Perform Image Negative Operation on given below Gray scale image.
4 Marks
(c)
List out color models. Explain RGB and CMYK color model in brief.
7 Marks
OR OPTION
(a)
Explain the concept of false coloring.
3 Marks
(b)
Discuss below Point Processing Techniques.
1)Log Transformation
2)Powerlaw Transformation
4 Marks
(c)
Describe Homomorphic Filtering.
7 Marks

Question 4

14 MarksMedium
(a)
Contrast Image Restoration with Image Enhancement.
3 Marks
(b)

Apply segmentation technique to identify points and lines in a given image. Explain the steps involved.

4 Marks
(c)
Discuss different noise models in image.
7 Marks
OR OPTION
(a)
Define Gradient Operator.
3 Marks
(b)

What is edge linking in digital image processing? Explain its purpose and name any two methods used for edge linking.

4 Marks
(c)

Write a Short note on Laplacian of Gaussian (LoG) Operator.why it is called Isotropic Filter?

7 Marks

Question 5

14 MarksMedium
(a)
Contrast: Lossless and lossy compression
3 Marks
(b)
Explain DFT and DCT with their applications in image processing.
4 Marks
(c)
Explain Region Merging & Splitting technique in detail.
7 Marks
OR OPTION
(a)
Explain multiresolution expansion using wavelet function.
3 Marks
(b)
What is Redundancy? Discuss Different types of Redundancy in Digital Image.
4 Marks
(c)

Generate and explain an algorithm to achieve LZW Compression for image data compression.

7 Marks
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About this Examination Paper & Attribution

Official Gujarat Technological University (GTU) examination paper and step-by-step solutions for Image Processing (Summer 2026, B.E. · IT Engineering, Sem 6). Features complete 70-mark regular & remedial examination pattern, official marking distribution across all 5 questions, and direct 1-click official PDF download.

Transcribed for student exam preparation from Gujarat Technological University official examination archives. Questions, syllabus guidelines, and curriculum marking schemes remain the intellectual property of Gujarat Technological University.

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