Download GTU BE/B.Tech 2019 Winter 7th Sem New 2170712 Image Processing Question Paper

Download GTU (Gujarat Technological University) BE/BTech (Bachelor of Engineering / Bachelor of Technology) 2019 Winter 7th Sem New 2170712 Image Processing Previous Question Paper

1
Seat No.: ________ Enrolment No.___________

GUJARAT TECHNOLOGICAL UNIVERSITY

BE - SEMESTER ? VII (New) EXAMINATION ? WINTER 2019
Subject Code: 2170712 Date: 03/12/2019

Subject Name: Image Processing
Time: 10:30 AM TO 01:00 PM Total Marks: 70

Instructions:
1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.


MARKS

Q.1 (a) Define the terms: Sampling, Quantization, Resolution 03
(b) Explain median filter with suitable data. 04
(c) Discuss the application of various types of waves in EM spectrum 07
Q.2 (a) Compare and contrast low pas vs. high pass spatial filtering 03
(b) Perform histogram equalization on following 4-bit image data:
Intensity
Level
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Number
of Pixels
0 0 5 10 6 4 20 5 30 0 0 0 10 0 5 5

04
(c) Write a short note on Gray level slicing and Bit plane slicing 07
OR
(c) Explain the working of adaptive median filter 07
Q.3 (a) Explain with applications: Log transformation, Power law
transformation
03
(b) Explain average filter and also list its limitations. How to overcome the
limitations of average filter.
04
(c) Differentiate: 1). Average vs. Median filter, 2). Gradient vs. Laplacian 07
OR
Q.3 (a) Write a short not on Butterworth low pass filter. 03
(b) Write a short note on: (A). Gaussian Noise, (B).Salt and Pepper Noise 04
(c) Discuss various high pass frequency domain filters. 07
Q.4 (a) Enlist various properties of Discrete Fourier Transform 03
(b) How gradient is useful to detect the discontinuity in image? 04
(c) Explain following procedure: Region spitting and region merging 07
OR
Q.4 (a) Discuss Euclidean, city block and chess board distance with suitable
examples.
03
(b) Compare and contrast: Lossless and lossy compression 04
(c) Apply Huffman coding to determine the code for following data: the
probability of symbols {A, B, C, D, E, F, G, H} is {0.22, 0.20, 0.18,
0.15, 0.10, 0.08, 0.05, 0.02.}
07
Q.5 (a) Discuss RLE compression algorithm. 03
(b) Differentiate: Image enhancement vs. Image Restoration 04
(c) Write a note on Geometric mean and contra harmonic mean filters. 07
OR

Q.5 (a) Discuss temporal redundancy in image. 03
(b) Write a short note on pseudo color image processing 04
(c) Explain: RGB and HIS color models 07
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