Tribhuvan University
Bachelor of Computer Application
Semester 7 · TU Board 2023
Course Title: Image Processing
Full Marks: 60Pass Marks: 24Time: 3 hours
Candidates are required to answer the question in their own words as far as possible.
Group B
Attempt any SIX question.(6 × 5 = 30)
- 2.5
Explain sampling and quantization with reference to digital image processing, further also calculate the size of image which is represented by 512 colors with x and y coordinates given as 1028*1028.
- 3.5
With the help of mathematical expression explain the effect of following noises on image and suggest filters to remove them a) Gaussian noise b) Salt and Pepper noise
- 4.5
From the given gray level values histogram, enhance the image using histogram equalization Gray Levels01234567No of pixels3005001000150020015005500
- 5.5
Differentiate between image restoration and image enhancement.
- 6.5
Define ideal low pass filter. Under what condition does Butterworth low pass filter become an ideal low pass filter.
- 7.5
Explain about image compression standards
Answer comingAlso asked in 2025
- 8.5
Write short notes on: a) Feature Extraction b) Mach Band effect
Group C
Attempt any TWO questions(2 × 10 = 20)
- 9.10
Define DFT and EFT. Prove that both the 2-D continuous and discrete Fourier transforms are linear operations.
- 10.10
Define basic relationship between pixels. Draw the functional block diagram of image compression system and explain the purpose of each block.
- 11.10
Explain region growing, splitting and merging with suitable example.
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