JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD
JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD B.Tech III DIGITAL IMAGE PROCESSING Previous Question Paper (May - 2019 - R16)
Part A is compulsory which carries 25 marks. Answer all questions in Part A. Part B consists of 5 Units. Answer any one full question from each unit. Each question carries 10 marks.
Part A
Compare and contrast digital image and binary image.
Answer
A digital image is a function f(x, y) where x and y are spatial coordinates and the amplitude at any pair of coordinates is the intensity or gray level, typically represented by multiple bits per pixel (e.g., 8-bit grayscale). A binary image is a special case of a digital image where each pixel can only take one of two values, 0 or 1, representing black and white respectively, using only 1 bit per pixel.
Define spatial and gray level resolution.
Answer
Spatial resolution is the smallest discernible detail in an image, typically defined as the number of pixels used to represent the image (e.g., 1024x1024 pixels). Gray level resolution refers to the number of bits used to represent the intensity level of each pixel, determining the number of distinct shades of gray available (e.g., 8-bit resolution provides 256 gray levels).
List the various areas of application of image subtraction.
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Explain about median filtering.
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Explain about alpha-trimmed mean filter?
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Write short notes on Max and Min filters.
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What is meant by edge in a digital image?
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What is meant by optimal Thresholding?
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Write short notes on spatial redundancy.
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Explain the Fidelity criteria.
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Unit I
State and prove separability property of 2D-DFT.
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Explain the role of Discrete Cosine transform in image processing.
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Obtain the slant transforms matrix For N=8.
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Develop an FFT algorithm using successive doubling method.
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Unit II
Sketch perspective plot of an 2-D Ideal Low pass filter transfer function and filter cross section and explain its usefulness in Image enhancement.
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What is meant by Histogram of an image. Write and explain with an example an algorithm for histogram equalization.
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What is meant by the Gradient and the Laplacian? Discuss their role in image enhancement.
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Unit III
Illustrate the use of adaptive median filter for noise reduction in an image.
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Outline the different approaches to estimate the noise parameters in an image.
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What are the different ways to estimate the degradation function? Explain.
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Explain about noise reduction in an image using band reject and band pass filters.
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Unit IV
Explain about Global Processing by making use of Hough Transform?
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Explain the following morphological algorithms: i) Boundary extraction ii) Hole filling
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With necessary figures, explain the opening and closing operations.
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Describe the procedure for image segmentation based on region growing with relevant examples.
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Unit V
Consider an 8- pixel line of gray-scale data, {12,12,13,13,10,13,57,54}, which has been uniformly quantized with 6-bit accuracy. Construct its 3-bit IGS code.
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What is bit-plane slicing? How it is used for achieving compression?
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With the help of a block diagram explain about transform coding system.
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Summarize the various types of data redundancies?
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