AKTU Image Processing (KCS062) Question Paper 2021-22

Note: Attempt all Sections. If you require any missing data, then choose suitably.

Section A

Q1. Attempt all questions in brief · 2 × 10 = 20 marks

1. Discuss photopic and scotopic vision.
2. Explain gamma correction in image processing.
3. Identify the need of Fourier transform.
4. Explain the relevance of DFT in image processing.
5. Describe motion blur in image restoration.
6. Differentiate between band pass and band reject filter.
7. Write short note on watershed segmentation.
8. Discuss dilation & erosion in morphological image processing.
9. Discuss Huffman encoding and shift codes.
10. Write a short note on regional descriptors.

Section B

Q2. Attempt any three of the following · 10 × 3 = 30 marks

1. Explain sampling and quantization and differentiate it. Also explain aliasing in context of image sampling.
2. Given Image f(x,y), Assuming that grey level is 0-7, Apply the following transformation: inversion, square root, square and logarithm function, given a= 0.5. Analyse the change in output image.
3. Illustrate homomorphic filter and derive the transfer function of it. Why do we not prefer higher–order derivatives filters?
4. Illustrate the image segmentation method based on thresholding. Also discuss various types of thresholding.
5. Explain the need of data compression in image processing. Discuss Run length encoding technique by using an example.

Section C

Q3

Attempt any one part of the following · 10 × 1 = 10 marks

1. Gray level 0 1 2 3 4 5 6 7 Frequency 400 700 1350 2500 3000 1500 550 0 Discuss histogram specification. Calculate the histogram of the output image obtained by enhancing the input by histogram equalization technique.
2. Illustrate colour models. Explain in detail how colour models are converted to each other.

Q4

Attempt any one part of the following · 10 × 1 = 10 marks

1. Derive the expression of second order derivative of image sharpening i.e. Laplacian filter.
2. Analyze the impact if the arithmetic mean filter is applied to an image again and again? What will happen if we use the median filter instead?

Q5

Attempt any one part of the following · 10 × 1 = 10 marks

1. Analyze the concept and expression of restored image using minimum mean square approach.? What are the advantages of a Wiener filter over an inverse filter?
2. Illustrate different restoration filters in frequency domain. What is the significance of Notch filter in image restoration?

Q6

Attempt any one part of the following · 10 × 1 = 10 marks

1. Discuss the following: (i) Border Tracing (ii) Edge Relaxation.
2. Discuss robert, sobel, prewitt operator of edge detection. For the given image write down the 8 chain code & find shape number of it.
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Q7

Attempt any one part of the following · 10 × 1 = 10 marks

1. Discuss why do we focus on boundary. Which descriptor is used to describe holes and connected components of the region?
2. The characters a to h have the set of frequencies based on the first Fibonacci numbers as follows: a : 1, b : 1, c : 2, d : 3, e : 5, f : 8, g : 13, h : 21 A Huffman code is used to represent the characters. What is the sequence of characters corresponding to the following code?

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