Digital Signal and Image Processing (DSIP) Semester 7 (Old Course) December 2011

Digital Signal and Image Processing (DSIP) Semester 7 (Old Course) (3 Hours) December 2011
MP-6280 [Total Marks : 100]
N.B:	(1)	Question No. 1 is compulsory.
	(2)	Attempt any four questions from remaining six questions.
	(3)	Draw the neat diagram wherever necessary.
1.		Justify / contradict the following:-      1. To get a good facial image make UP is a mus      2. Ideal low pass filters give ringing effect.                  3. Laplacian Operator gives double edge response to the step change      4. Over sampling results in aliasing effects.      5. Brightness discrimination is high in bright light.		20
2.	(a)	Compare median filter and averaging filter. Apply them to the following image and analyse the effects.   0 0 0 7 7 7 0 0 7 7 7 7 0 0 0 7 7 7 0 0 0 7 7 7 0 0 0 0 7 7 0 0 7 7 7 7 0 0 0 7 7 7		10
	(b)	Explain sampling and quantization stages. for image digitization. Compare uniform and non uniform sampling and their effect on to the image.		10
3.	(a)	Explain the different sources of images other than visible light and give the examples of each source.		10
	(b)	Explain the basic logical operators used for binary image processing Apply any 4 of them on to A and B		10
		A=   1 1 0 0 1 1 1 1 0 0 1 1 1 1 0 0 1 1 1 1 0 0 1 1 1 1 0 0 1 1	B=    0 0 1 1 0 0 0 0 1 1 0 0 0 0 1 1 0 0 0 0 1 1 0 0 0 0 1 1 0 0
4.	(a)	Explain image sharpening. Also explain the effect of adding more of the original image in the process of sharepening.		10
	(b)	A 2 bpp image has the following distribution. Perform histogram equalization. Show both original and transformed histograms.   Gray Level rk 0 1 2 3 4 5 6 7 %of pixel 1% 20% 50% 3% 2% 3% 15% 5%		10
5.	(a)	Differentiate between region based and boundary based segmentations. Explain the use of Thresholding in both cases.		10
	(b)	Differentiate between image processing and computer Graphics, Explain the graphics primitives and the transformations.		10
6.	(a)	Explain the effect of illumination and reflection of light on the image formation. Explain how homomorphic filter will help in enhance these components of the image.		10
	(b)	Explain the use of opening, Closing and pruning operators as noise cleancrs.		10
7.	(a)	Explain signatures as boundary representation. Represent the rectangle shaped boundary in the form of signature.
	(b)	Explain image pyramid and the quality of information in each level of the pyramid. Explain how pyramid can be generated.

Also see Digital signal and image Processing question papers for December 2013