Jawaharlal Nehru Technological University Hyderabad
Jawaharlal Nehru Technological University Hyderabad B.Tech III Year DIGITAL IMAGE PROCESSING Previous Question Paper (July - 2023 - R16)
Note: Part A is compulsory (25 marks). In Part B, answer any one question from each unit (10 marks each).
Part A
Mention the applications of image processing.
Answer
- Medical Imaging: Used for MRI, CT scan enhancement, and tumor detection.
- Remote Sensing: Analysis of satellite imagery for weather forecasting, agriculture, and urban planning.
- Machine Vision: Automated inspection in manufacturing and robotics.
- Biometrics: Fingerprint, iris, and facial recognition for security.
What are the properties of Haar transformation?
Answer
- Orthogonality: The Haar basis functions are orthogonal, ensuring no information redundancy.
- Computational Efficiency: It requires minimal arithmetic operations, making it extremely fast.
- Multi-resolution Analysis: It provides both spatial and frequency localization, allowing for the analysis of images at different scales.
- Real-valued: The transformation uses real numbers, simplifying implementation in hardware.
What is Histogram and how to represent a image in terms of Histogram?
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What are the advantages of filtering in frequency domain?
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Write the drawback of inverse filtering.
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Why is the restoration called as unconstrained restoration?
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What is the significance of threshold in image segmentation?
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What are the applications of image segmentation?
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Define compression ratio.
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What are two main types of image compression?
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Part B
Explain the fundamental steps in digital image processing which can be applied to images.
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What is Hadamard transform? Explain in detail and write its properties.
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How the DCT is used in image processing?
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Explain about periodic noise reduction using frequency domain filtering.
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Illustrate homomorphic filtering approach for image enhancement.
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What are the different types of point processing? Explain them with examples.
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Explain linear position invariant degradation employed for image restoration.
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Explain interactive image restoration.
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How least mean square filter is used for image restoration and how to design it?
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Explain the significance of Boundary in image segmentation and how to detect a boundary.
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Prove that erosion and dilation are dual to each other.
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How Hit or miss transformations are used to improve image quality?
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Define compression and explain the general compression system model.
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What is Arithmetic coding and how it is used for image compression?
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Explain about Lossy and lossless compression and explain any two methods in each.
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