JNTU
JNTU B.Tech III DIGITAL IMAGE PROCESSING Previous Question Paper (August/September - 2024 - R16)
Note: i) Question paper consists of Part A, Part B.
ii) Part A is compulsory, which carries 25 marks. In Part A, Answer all questions.
iii) In Part B, Answer any one question from each unit. Each question carries 10 marks and may have a, b as sub questions.
Part A
Define the term Quantization.
Answer
Quantization is the process of mapping a continuous range of input values (typically intensity levels) into a finite set of discrete, quantized levels. It is the second step in digitizing an image after sampling, effectively reducing the number of bits required to represent each pixel.
What is the goal of an image transform?
Answer
The primary goal of an image transform is to represent the image data in a different domain (such as frequency or spatial-frequency) to facilitate easier processing. This allows for tasks like data compression, feature extraction, and noise reduction by concentrating image energy into fewer coefficients or separating signal components from noise.
What is image filtering?
Answer
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Write the steps involved in frequency domain filtering.
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What is the degradation model?
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What is inverse filtering?
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Write the applications of segmentation.
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What is Dilation?
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Define compression ratio.
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What are the operations performed by error free compression?
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Part B
Explain the basic relationships between the pixels with an example.
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Determine the Hadamard matrix of order N = 8 and obtain its inverse.
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Discuss the types of smoothing filters in the frequency domain with the required expressions.
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Explain the histogram equalization operation in image enhancement with necessary expressions.
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Develop the least mean square filter for image restoration.
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Design constrained least square filtering for image restoration and derive its transfer function.
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Illustrate region based segmentation and region growing with examples.
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Explain two important morphological operations opening and closing.
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Solve and find a Huffman code and average length of the code and its redundancy for the source emits letters from an alphabet A={a1,a2,a3,a4,a5} with probabilities P(a1)=0.2, P(a2)=0.4, P(a3)=0.2, P(a4)=0.1 and P(a5)=0.1.
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Discuss the JPEG base line standard for compression.
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Compare lossless and lossy compression techniques.
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