Download GTU BE/B.Tech 2018 Winter 6th Sem New 2161604 Image Processing Question Paper

Download GTU (Gujarat Technological University) BE/BTech (Bachelor of Engineering / Bachelor of Technology) 2018 Winter 6th Sem New 2161604 Image Processing Previous Question Paper

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Seat No.: ________ Enrolment No.___________

GUJARAT TECHNOLOGICAL UNIVERSITY

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:

1. Attempt all questions.

2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks
Q-1 (A) Define the following terms
1) Contrast Strecthing
2) Nearest neighbor interpolation
3) Image negative
[ 3 ]
(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 ]
(B) Write short note on :smoothing filter [ 4 ]
(C) explain following:
1)mach band effect 2)image contrast, image resolution
[ 7 ]
OR
(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
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 ]
(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.
1. Salt Noise 2) Papper Noise 3) Uniform Noise
[ 7 ]

Q-5 (A) Write note on edge detection [ 3 ]
(B) What is morphology? Explain any one morphology operation in details. [ 4 ]
(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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