BE8-R4 Page 1 of 2 July, 2017
BE8-R4: DIGITAL IMAGE PROCESSING
«QP_SRLNO»
NOTE:
Time: 3 Hours Total Marks: 100
1.
Why segmentation is required in image processing?
Explain the concept of spatial filtering.
State the Optimality conditions of Huffman code.
State the need of data compression.
Mention the difference between a monochrome and grayscale image.
List any two properties of median filter.
List out the coding system define in JPEG standard.

2.
Grey level histogram of an image is given below:
Compute the grey level histogram of the output image obtained by enhancing the input by the
histogram equalization technique.
Explain the basic concepts of sampling and quantization with neat sketch.

3.
What do you mean by edge in an image? Explain how sharpening filter may be use to enhance
edges. Also discuss how first and second derivative may be use for detecting edges in an
image.
What are grey level transformations? Explain grey level slicing and contrast stretching.

4.
Describe constrained least square filtering for image restoration and drive its transfer function.
Describe Sobel Prewitt 3x3 operator. Where are they used?

5.
For the image shown below compute the compression ratio that can be achieved using Huffman
coding:
How an image is compressed using JPEG Image compression standard?

Grey
Level
0 1 2 3 4 5 6 7
Frequency 400 700 1350 2500 3000 1500 550 0
1. Answer question 1 and any FOUR from questions 2 to 7.
2. Parts of the same question should be answered together and in the same
sequence.
BE8-R4 Page 2 of 2 July, 2017
6.
Illustrate the different causes of image degradation.
Differentiate between Geometric and plane to plane transformation in image processing.
Explain the Pseudo and False coloring.

7. Discuss the following (any four):
LOG filter
Non-Linear stretching
Singular Value Decomposition
Bit-plane slicing
Image fusion
(4.5x4)