IMAGE PROCESSING [ELECTIVES] MAY 2011 ELECTRONICS AND TELECOMMUNICATION SEMESTER 8

IMAGE PROCESSING [ELECTIVES] MAY 2011 ELECTRONICS AND TELECOMMUNICATION SEMESTER 8

1.	Answer the following question :-	20
	(a) Is the Huffman code optical ? Prove with an example.
	(b) Justify 'Quality of picture depends on the number of pixels and grey levels'.
	(c) Explain slant transform.
	(d) Justify/ contradict 'for digital Image having salt and pepper noise, median
	filter is the best'.
2. (a)	Explain the following Image Enhancement Techniques with application :-	15
	(i) Intensity level slicing
	(ii) Range Compression
	(iii) Edge detection.
(b)	Compare between contrast stretching and histogram equalization.	5
3. (a)	A 8 level image is given below :-	10
	Prepare the histogram of the given image.
	Perform Histogram equalization and draw New Histogram.
(b)	A source emits 8 symbols with the probabilities given :-	10
	Obtain Huffman code and calculate entropy, average code word length and coding
	efficiency.
4. (a)	Name different types of image segemenation techniques. Explain the splitting and	10
	merging technique with the help of an example.
(b)	Apply slant transform and DCT transform on the given image and compare the	10
	result.
5. (a)	What is Hadamard Transform ? Write a 4 x 4 Hadamard matrix and its application.	10
	Is H(4) Orthogonal and Normalized.
(b)	Apply Low and High Pass Spatial masks on the following image matrix. Prove	10
	that High Pass = Original - Lowpass. Assume virtual Rows and Columns.
6. (a)	Compare :-	10
	(i) Lossy and Lossless compression.
	(ii) Objective fidelity criteria and subjective fidelity criteria.
(b)	Explain segmentation based on discontinuty and segmentation based on	10
	similarities.
7.	Write short notes on any four of the follwoing :-	20
	(a) Haar Transform
	(b) Frequency domain filtering
	(c) Wiener Filtering
	(d) Spatial domain filtering
	(e) Connectivity of Pixels