Sunday, January 30, 2022

JNTUH B.Tech digital image processing May - 2019 Question Paper

  



JNTUH Old Question Papers / Previous Years Question Papers / Past Question Papers





Code No:136BD



JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY, HYDERABAD 

















B. Tech III Year II Semester Examinations, May - 2019

DIGITAL IMAGE PROCESSING

(Electronics and Communication Engineering)


Time: 3 hours                                                                                                              Max. Marks: 75


































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Sunday, January 9, 2022

JNTUK R16 B.Tech 1st Semester Digital Image Processing Oct Nov 2019 Question Paper

JNTUK R16 B.Tech 1st Semester Digital Image Processing Oct Nov 2019 Question Paper

JNTUK Question Paper

Code No: R1641042

R16

IV B.Tech I Semester Regular Examinations, October/November - 2019

DIGITAL IMAGE PROCESSING

(Common to Electronics & Communication Engineering and Electronics & Instrumentation Engineering and Electronics & Computer Engineering)

Time: 3 hours Max. Marks: 70

Question paper consists of Part-A and Part-B

Answer ALL sub questions from Part-A

Answer any FOUR questions from Part-B

*****

PART–A (14 Marks)

1. a) Define 4-neighbors and 8-neighbors of a pixel. [2]

b) What is meant by image enhancement? Why it is needed? [3]

c) Sketch the probability density functions of Gaussian noise and salt-and-pepper noise. [2]

d) Draw the block diagram of general image compression system. [2]

e) Define Erosion and Dilation. [3]

f) Write the applications of RGB color model. [2]

PART–B (4x14 = 56 Marks)

2. a) What are the various arithmetic operations used in digital image processing? Explain. [7]

b) Explain about Hadamard transform and determine the Hadamard matrix for order N = 8. [7]

3. a) Explain about contrast stretching and Bit-Plane slicing. [7]

b) Explain about notch filtering and write the use of it in image processing. [7]

4. a) Discuss about image denosing using spatial mean filters. [7]

b) Explain about image restoration using minimum mean square error filtering. [7]

5. a) With an example, explain the concept of Run Length coding. [7]

b) Discuss about wavelet functions used in multi resolution analysis. [7]

6. a) Write the applications of segmentation and explain threshold based segmentation. [7]

b) Explain about morphological opening operation with example. [7]

7. a) Explain the use of intensity to color transformation in image processing. [7]

b) Discuss about histogram processing of color images. [7]

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