Download GTU BE/B.Tech 2019 Winter 8th Sem New 2181102 Fundamental Of Image Processing Question Paper

Download GTU (Gujarat Technological University) BE/BTech (Bachelor of Engineering / Bachelor of Technology) 2019 Winter 8th Sem New 2181102 Fundamental Of Image Processing Previous Question Paper

1
Seat No.: ________ Enrolment No.___________

GUJARAT TECHNOLOGICAL UNIVERSITY

BE - SEMESTER ? VIII (New) EXAMINATION ? WINTER 2019
Subject Code: 2181102 Date: 21/11/2019

Subject Name: Fundamental Of 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.


MARKS

Q.1 (a) Define Image, Low-mid and high-level processes on image. 03
(b) List the fields that use digital image processing. Briefly explain X-ray
imaging.
04
(c) Using block diagram explain the fundamental steps in digital image
processing.
07

Q.2 (a) Explain brightness adaptation. 03
(b) Briefly explain spatial and gray-level resolution. 04
(c) Explain structure of the human eye with neat and clean diagram in detail. 07
OR
(c) Write short note on bit-plane slicing. 07
Q.3 (a) What is contrast stretching? 03
(b) What type of data redundancies that can be identified and exploited for
digital image compression purpose?
04
(c) Explain any two basic gray level transformations. 07
OR
Q.3 (a) Define image enhancement and its approaches. 03
(b) Briefly explain homomorphic filtering approach for image enhancement. 04
(c) Write short note on histogram equalization. 07
Q.4 (a) What is application of power law (Gamma) transformation in digital
image processing?
03
(b) Explain steps of filtering in the frequency domain using block diagram. 04
(c) What is use of image smoothing filters? Explain Butterworth low-pass
filters in detail.
07
OR
Q.4 (a) Explain the term ?Safe web colors?. 03
(b) Explain the model of image degradation/restoration process. 04
(c) Write short note on MMSE (Wiener) Filtering. 07
Q.5 (a) Explain 2D discrete Fourier transform with the help of equations. 03
(b) Explain Noise probability density function for Gaussian noise and impulse
noise.
04
(c) What is pseudocolor image processing? Explain Intensity slicing
technique in details.
07
OR

Q.5 (a) Explain image segmentation and basic approaches of image segmentation
algorithms.
03
(b) Discuss the applications of gray-scale morphology. 04
(c) What is morphology? Explain Hit-or-miss transformation. 07

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