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?
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)?
(x)?
No comments:
Post a Comment