Rajiv Gandhi Proudyogiki Vishwavidyalaya(Technical University) DIGITAL IMAGE PROCESSING (Common for EI, EC & EX Engg.) model question papers



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Posted Date: 26 Jan 2010      Posted By:: Er. Akanksha Pandey    Member Level: Gold  Points: 5 (₹ 1)

2007 Rajiv Gandhi Proudyogiki Vishwavidyalaya(Technical University) B.E. Electronics and Instrumentation Engineering DIGITAL IMAGE PROCESSING (Common for EI, EC & EX Engg.) Question paper



Course: B.E. Electronics and Instrumentation Engineering   University/board: Rajiv Gandhi Proudyogiki Vishwavidyalaya(Technical University)





DIGITAL IMAGE PROCESSING EI-8402/RX-8403/EC-8301

Note : Attempt any five questions. All questions carry equal marks.

1. (a) In context to an image, describe the sampling and quantization process. Draw sampled image spectra. [Marks 10]

(b) Describe the image sensing is acquisition process employing a CCD camera. [Marks 10]

2. (a) Discuss the various properties of two dimensional forier transform. [Marks 10]

(b) Discuss discrete cosine transform (DCT)and its properties. Discuss how it can be used in transform based image encoding? [Marks 10]

3. (a) List different types of noise that may affect an image. Describe how an adaptive mean filter
may be implemented? [Marks 10]

(b) What is image histogram? How it is useful in image enhancement? Show mathematically the process improving image quality. [Marks 10]

4. (a) Discuss the properties and transfer function of ideal low pass frequency domain filter.
Compare it with characteristics of Gaussian low pass filter. [Marks 10]

(b) How edge is detected in an image ? What are the different methods of it ? Discuss it using different operator and corresponding masks. [Marks 10]

5. (a) What is the use of hough transform is edge-linking problems of images? How hough transform is implemented ? Discuss its characteristics. [Marks 10]

(b) Discuss how a shape may be represented ? List and describe various shape defining parameters .Give their matematical representation. [Marks 10]

6. (a) What is the purpose of image restoration ? What are its different techniques ? What is meant by contrained and unconstarined restoration? Give example. [Marks 10]

(b) What adavantages Wiener filter has over other filters? What are its characteristics ? How it may be implemented? [Marks 10]

7. (a) What are different classes of image data encoding techniques ? Describe the encoding techniques using differential Pulse code modulation. [Marks 10]

(b) Discuss the following encoding techniques: [Marks 10]

(i) Run length coding
(ii) Variable length coding employing Huffman coding

8. Write short notes on any three of the following: [Marks 7,7,6]

(i) Walsh transform
(ii) Distance measure and neighbour of a pixel
(iii) Enhancement using averaging
(iv) Block circulant
(v) Erosion and Dilation of image





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