Download GTU BE/B.Tech 2019 Summer 6th Sem New 2161604 Image Processing Question Paper

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GUJARAT TECHNOLOGICAL UNIVERSITY
SEMESTER-VI(NEW) - EXAMINATION - SUMMER 2019

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Instructions:

1. Attempt all questions.

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2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.

Q.1

1. Define following terms: (03)
   1. Resolution
   2. Kernel

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   3. Contrast Stretching
2. Explain three levels of image processing processes. (04)
3. Explain the digitizing process of real world scene. (07)

Q.2

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1. Define following terms: (03)
   1. Simultaneous Contrast
   2. m-adjacency
   3. D4 Distance
2. List and Explain Components of an Image Processing System. (04)

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3. What is Histogram? What is significance of Histogram Equalization? Explain process on Histogram equalization NxN size image. (07)
   OR
   Explain Bitplane slicing method of Image Representation. What is the significance of this method in image compression and information hiding? (07)

Q.3

1. 1. Histogram equalization always improves the visual appearance.(T/F) (03)

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   2. Two different images of same size can have same histogram.(T/F)
   3. Histogram Equalization'is a Contrast Stretching Operation. (T/F)
2. Explain Image Smoothing Filters in Spatial Domain. (04)
3. Explain use of derivatives in sharpening an image. derive all essential equations and mask elements. (07)
   

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   OR
   

Q.3

1. Which are the steps for performing image processing in frequency domain? (03)
2. Explain Image Sharpening Filters in Frequency Domain. (04)

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3. What is the difference between degradation and noise? Explain image degradation and restoration model. (07)

Q.4

1. Explain image subtraction and image averaging method. (03)
2. Explain log transformation and negative transformation method. (04)
3. Why Pseudocolor image processing is required? What are the techniques to achieve pseudo image? List few applications of it (07)
   

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   OR
   

Q.4

1. What is significance of Color models? List applications of RGB, HIS and CMYK color Models. (03)
2. Explain spatial correlation and convolution with suitable example. Write all conclusions. (04)

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3. Suggest an appropriate image restoration technique for the removal of following noise and explain the same in brief: 1. Salt and pepper noise 2. Salt noise 3. Pepper noise 4. Uniform noise (07)

Q.5

1. What is significance of DCT in Image processing? (03)
2. Explain JPEG Compression Model fundamental steps. (04)
3. Compare Fourier and wavelet transform. Mention applications of wavelet. (07)
   

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   OR
   

Q.5

1. Explain image pyramid in detail. (03)
2. Which type of redundancy can be found in images? (04)

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3. Explain Image Segmentation based on color. (07)
4. Write a note on Optimum Global Thresholding Using Otsu’s Method. (07)

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