Download GTU BE/B.Tech 2018 Winter 7th Sem New 2170712 Image Processing Question Paper

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GUJARAT TECHNOLOGICAL UNIVERSITY

BE - SEMESTER-VII (NEW) EXAMINATION — WINTER 2018

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Subject Code: 2170712

Subject Name: Image Processing

Time: 10:30 AM TO 01:00 PM

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. (a) Explain Electromagnetic Spectrum [03]
2. (b) Explain Types of Images? [04]

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3. (c) Explain Digital Imaging System? [07]

Q.2

1. (a) What is histogram equalization? Demonstrate with example. [03]
2. (b) Explain the following edge extraction operators [04]
   1. Sobel
   2. Prewitt

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   3. Roberts
   4. Laplacian
   5. Fri-chen
3. (c) Explain basic gray level transformations? [07]

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OR

1. (a) Explain following terms: 1) Luminance 2) Radiance 3) Brightness 4) Contrast 5) Intensity and Spatial Resolution 6) Modulation Transfer Function 7) Dynamic Range. [07]

Q.3

1. (a) Explain Image restoration Model? [03]
2. (b) Explain DFT and DCT with their applications in image processing field. [04]

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3. (c) Write steps for filtering of image in frequency domain. Also explain ringing effect and Gaussian Highpass Filter. [07]

OR

1. (a) Explain mean and median filtering with example? [03]
2. (b) Explain Homomorphic filtering? [04]
3. (c) Explain spatial correlation and convolution with suitable example. [07]

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Q.4

1. (a) Explain machband effect and weber ratio [03]
2. (b) Explain Gaussian filter [04]
3. (c) Explain Bitplane coding with example [07]

OR

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1. (a) Explain Haar Transform and mention its applications. [03]
2. (b) Explain HSI color model with all essential figure and equation. [04]
3. (c) Explain Huffman Encoding with example? [07]

Q.5

1. (a) Discuss Spatial and Temporal Redundancy of an Image. [03]

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2. (b) What is Histogram? Draw histogram patterns of Dark, Bright, Low and High contrast Image. [04]
3. (c) Explain LZW Coding ? [07]

OR

1. (a) Explain Hough Transform. [03]
2. (b) What is edge? Explain the types of discontinuities in image. [04]

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3. (c) Explain Image segmentation using Global Thresholding. [07]

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Date: 29/11/2018

Total Marks: 70

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