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GUJARAT TECHNOLOGICAL UNIVERSITY
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BE - SEMESTER-VI (NEW) EXAMINATION - WINTER 2018
Subject Code:2161604 Date:04/12/2018
Subject Name:Image processing
Time: 02:30 PM TO 05:00 PM Total Marks: 70
Instructions:
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- Attempt all questions.
- Make suitable assumptions wherever necessary.
- Figures to the right indicate full marks
Q-1 (A) Define the following terms [3]
- Contrast Stretching
- Nearest neighbor interpolation
- Image negative
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(B) What is mean by Digital Image Processing? Explain how digital images can be represented? [4]
(C) Explain the process of image acquisition. [7]
Q-2 (A) Discuss a simple image formation model. [3]
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(B) Write short note on :smoothing filter [4]
(C) Explain following: [7]
- mach band effect
- image contrast, image resolution
OR
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(C) Explain piecewise-linear transformation functions in detail [7]
Q-3 (A) List applications of RGB, HIS and CMYK color Models [3]
(B) Explain ideal low pass filter and butterworth low pass filter in frequency domain. [4]
(C) Explain sharpening using a 3x3 mask. [7]
OR
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Q-3 (A) Write a short note on Power-Law (Gamma) transformation [3]
(B) Explain the Error-free compression techniques in short. [4]
(C) Define histogram. Explain histogram equalization algorithm. Write pseudo code or matlab code for calculation of histogram and histogram equalization. [7]
Q-4 (A) Explain the properties of Haar transform. [3]
(B) Explain thresholding concept of Image segmentation in details. [4]
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(C) Explain RGB color model. Mention safe RGB colors and its detail. [7]
OR
Q-4 (A) Explain Adaptive filters [3]
(B) Explain DCT with their applications in image processing field. [4]
(C) Explain the following image restoration technique. [7]
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- Salt Noise
- Pepper Noise
- Uniform Noise
Q-5 (A) Write note on edge detection [3]
(B) What is morphology? Explain any one morphology operation in details. [4]
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(C) Write a detailed note on 2-D fast wavelet transform [7]
OR
Q-5 (A) Discuss Spatial and Temporal Redundancy of an Image. [3]
(B) Explain LZW Coding in brief. [4]
(C) What is Segmentation? List segmentation approaches. Explain use of gradient operators to find out discontinuous. [7]
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