AKTU Image Processing (BCS057) Question Paper 2024-25

Note: Attempt all Sections. In case of any missing data; choose suitably.

Section A

Q1. Attempt all questions in brief · 2 × 7 = 14 marks

1. What is the RGB color model?
2. Define the 2D mathematical preliminaries in image processing?
3. Describe is the purpose of spatial filtering in image enhancement?
4. Define the image restoration in digital image processing?
5. Describe edge detection in image segmentation?
6. Define region-based segmentation?
7. Discuss the MPEG standard for video compression?

Section B

Q2. Attempt any three of the following · 7 × 3 = 7 marks

1. Discuss the fundamentals of color images, including how color is represented digitally in RGB and HSI models.
2. Describe the Butterworth filter, and how is it used in image enhancement?
3. What is the purpose of notch filters in image restoration, and how are they used to eliminate periodic noise?
4. Describe the thresholding technique used in image segmentation and how it is used to separate objects from the background.
5. How does Run-Length Encoding (RLE) work in data compression?

Section C

Q3

Attempt any one part of the following · 7 × 1 = 7 marks

1. Describe the steps involved in digital image processing and their importance in enhancing image quality.
2. What is the Discrete Fourier Transform (DFT), and how is it used to transform an image into the frequency domain for processing?

Q4

Attempt any one part of the following · 7 × 1 = 7 marks

1. Discuss the differences between smoothing and sharpening spatial filters. Provide examples of when each is used.
2. Define homomorphic filtering, and how does it improve the quality of an image, particularly in terms of lighting and contrast?

Q5

Attempt any one part of the following · 7 × 1 = 7 marks

1. Describe Wiener filtering and how it is used to minimize noise in image restoration while preserving details.
2. What are the properties of image degradation that affect the restoration process, and how are these addressed?

Q6

Attempt any one part of the following · 7 × 1 = 7 marks

1. What is morphological processing in image segmentation, and how are operations like erosion and dilation used to refine image features?
2. What is dam construction in watershed segmentation, and how does it help in controlling the flow of watersheds?

Q7

Attempt any one part of the following · 7 × 1 = 7 marks

1. Discuss the JPEG standard for image compression, including its compression techniques and the types of images it is best suited for.
2. Explain the process of boundary description and how it helps in identifying object boundaries in image recognition.

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