Friday 13 July 2012

Kerala University B.Tech Computer Science 7th Semester Digital Image Processing Previous Questions


Kerala University B.Tech Computer Science 7th Semester Digital Image Processing Previous Questions



Module-I

                     1. Discuss any one type of non sinusoidal orthogonal transforms?
   2. Explain about
i)                    Image sensors
ii)                   Digitizers
                      3. Explain the representation of digital image?
                      4. What is the need of image quantization?
                      5. Describe FFT algorithm and inverse FFT algorithm for processing the image?
                      6. Explain the components of a typical digital image processing system?
                      7. What is convolution of two functions? How it is used in digital image processing?
                      8. Explain a typical image processing system?
                      9. Explain the traditional data structures used in image processing?
                    10. Describe one dimensional DFT with all its properties?
                    11. Explain:
                             i) Spatial Resolution
                            ii)Spectral Resolution of images.
                    12. Explain the components of an image processing system with the help of a suitable     diagram?
                     13. Show that the Eigen functions of a linear shift invariant system are given by complex exponentials?
                   
                  







Module-II
1. Explain image averaging?
2. Ordered static filter?
3. Max-min and min-max filter?
4. Discuss any two methods of image restoration?
5. Discuss two sharpening frequency domain filters?
6. Explain spatial domain methods for image enhancement?
7. Explain the image enhancement in frequency domain using Butterworth filter?
8. Discuss in detail, the various smoothing, frequency domain filters used for image enhancement operations?
9. Explain the following techniques used for image enhancement:
            i) Spatial averaging filter
            ii) Spatial low-pass filtering
           iii) Let {y(m)}={2,3,8,4,2}.For the windows(i) W=[-1,0,1] and (ii) W=[-1,0,1,2],obtain the median filter outputs?
10. Discuss in detail smoothing frequency domain filters and sharpening frequency domain filters for image enhancement?
11. What is meant by image restoration? Describe inverse filtering?
12. Discuss spatial low pass filtering technique used for image enhancement?
Module-III
1.       Write notes on:
i)                    Huffman coding
ii)                   Run length coding
2.       What is optimal thresholding? Explain.
3.       Differentiate between lossy and lossless image compression?
4.       Write notes on:
i)                    Quad tee coding
ii)                   Contour coding
5.       What is global processing via Wough transform?
6.       Explain image compression standards?
7.       What is image segmentation? Explain one region based segmentation technique?
8.       Explain two edge detection methods?
9.       Differentiate between lossy and lossless compression?
10.   Describe the concept of quantization for image compression. What is meant by adaptive quantization?
11.   Explain the concept of entropy coding and the Huffman coding algorithm?
12.   If m bits are required for a run-length code for a sequence of ยต binary symbols, on the average, obtain the compression achieved in terms of the probability of a symbol?
13.   Write a bit allocation algorithm for calculating the bit versus distortion characteristics of a transform coder based on a given transform A and a quantizer with distortion function f
(x)?

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