AKTU Image Processing (BCS057) Question Paper 2025-26
| University | Dr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow |
|---|---|
| Course | B.Tech, Semester V |
| Subject | Image Processing (BCS057) |
| Exam | Theory Examination 2025-26 (odd semester) |
| Time · Marks | 3 hours · 70 marks |
| Source | AKTU question paper, from the ABESIT question paper bank |
Note: Attempt all Sections. In case of any missing data; choose suitably.
Section A
Q1. Attempt all questions in brief. 0 · 2 × 7 = 14 marks
- Define image sampling and quantization.
- What is histogram equalization? 1,
- Define morphological operations with examples.
- What is noise in digital images?
- What is run length encoding?
- What is image compression?
- Define Fourier Transform. 1,
Section B
Q2. Attempt any three of the following · 7 × 3 = 21 marks
- What do you mean by image processing? Explain the steps of image processing with the help of block diagram.
- Explain histogram specification technique with suitable example.
- Explain Gaussian low pass filter.
- Explain region splitting and merging with suitable example.
- Discuss the need for data compression. Also explain run length encoding algorithm in detail.
Section C
Q3
Attempt any one part of the following · 7 × 1 = 7 marks
- Differentiate Correlation and Convolution with 1 - D function and a filter example.
- Perform histogram equalization for an image with gray levels {0,1,2,3}
having frequencies {4,6,8,2}.{0, 1, 2, 3} {4, 6, 8, 2}
Q4
Attempt any one part of the following · 7 × 1 = 7 marks
- Explain homomorphic filtering. Compute the morphological opening of a binary image.
- Explain region growing segmentation method. Consider the following grayscale image:
A seed pixel is selected at position (2,2) with intensity value 96 .
Apply the Region Growing Segmentation method using:• Threshold = ±5
• 4 - connectivity
Identify all pixels that will be included in the grown region and draw the final segmented regi on mask (1 = region, 0 = non - region).Region Growing Segmentation
Region Growing Segmentation , :
Q5
Attempt any one part of the following · 7 × 1 = 7 marks
- Construct Huffman codes for symbols with probabilities {0.4, 0.3, 0.2, 0.1} and calculate the average code length for the Huffman tree. {0.4, 0.3, 0.2, 0.1}
- What is Image Restoration? Draw and explain the basic block diagram of the restoration process.
Q6
Attempt any one part of the following · 7 × 1 = 7 marks
- Explain edge detection and edge linking. Also differentiate between edge
- detection and edge linking. Explain mean and order statistic filters with suitable example.
Q7
Attempt any one part of the following · 7 × 1 = 7 marks
- Explain erosion and dilation with suitable example.
- Differentiate between JPEG and MPEG standard in detail.
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