
	Trending ▼ ICSE CBSE 10th ISC CBSE 12th CTET GATE UGC NET Vestibulares ResFinder

2003 Course Digital Image Processing

3 pages, 35 questions, 0 questions with responses, 0 total responses,

	pune_eng	+Fave Message
	Profile Timeline Uploads Q & A

Home > pune_eng >

Instantly get Model Answers to questions on this ResPaper. Try now!
NEW ResPaper Exclusive!

Formatting page ...

Total No. of Questions : 12] P993 [Total No. of Pages : 3 [3664]-207 B.E. (E & TC) DIGITAL IMAGE PROCESSING (2003 Course) Time : 3 Hours] [Max. Marks : 100 Instructions to the candidates: 1) Answers to the two sections should be written in separate books. 2) Neat diagrams must be drawn wherever necessary. 3) Assume suitable data, if necessary. SECTION - I Q1) a) Briefly explain the following : i) ii) [8] Webber ratio. Scotopic threshold and glare limit. b) 100 100 B bits/pixel image is processed as follows : [8] Case 1 - Down-sampled by factor of 2. Case 2 - Quantized to (B-1) bits/pixel. Find effect on resolution, quality, image size and data size in each case. OR Q2) a) Explain the following : i) ii) b) i) ii) [8] Simultaneous contrast. MTF of human vision system. A gray level transform is given by T (f) = af + b where f is the original gray level. What are the transform coefficients (a & b) if we are inverting image. An 8 bit image has mean value of 100 and standard deviation of 10. What can you say about quality of the contrast in image. If the image is passed through gray level transform 9 (x, y) = 2f (x, y) + 10. What is the mean value and standard deviation of the transformed image. [8] Q3) a) Explain properties of Haar Transform. Give its applications. b) Discuss RGB, YIQ and HSI color models. [8] [8] P.T.O. OR Q4) a) Discuss the following properties of image transform. i) ii) iii) iv) [8] Energy compaction. Decorrelation. Symmetry. Separability. b) Explain Homomorphic filter. State its applications. Q5) a) What is histogram matching? Explain. b) Explain how Laplacian can be used for image enhancement. [8] [9] [9] OR Q6) a) Explain median filtering? Give its applications. Compare median filter with averaging filter. [9] b) With the help of neat diagram explain various steps in image processing. [9] SECTION - II Q7) a) What is boundary representation? Explain how chain codes are used for boundary representation. [8] b) Explain : [8] i) Point detection. ii) Line detection. iii) Edge detection. Using appropriate masks. OR Q8) a) Explain edge detection procedure using sobel mask. Discuss the problems of edge detection in noisy image. [8] b) Explain edge linking using Hough transform. Q9) a) Image matrix for 4 bit/pixel image is given as follows. 15 15 10 8 15 10 8 8 15 10 8 8 10 8 8 8 [3664]-207 2 [8] [8] Find : i) Huffman code for gray levels in the image. ii) Compression ratio. iii) Average length of the code words. b) Explain lossy predictive coding technique for image compression. [8] OR Q10) a) With reference to transform coding explain : i) ii) [8] Bit allocation. Zonal coding. b) Explain redundancies observed in image. [8] Q11) a) What is image restoration? How it is achieved using inverse filtering.[9] b) Explain histogram equalization process for color images. [9] OR Q12) a) Explain binary erosion operation. How it can be used for boundary extraction. [9] b) Discuss how image processing can be used for fingerprint identification. [9] xxxx [3664]-207 3

Formatting page ...

Tags : Pune, Engineering, University of Pune, Engineering question papers, Pune University, previous year question papers, question papers, india, model question paper, pune university paper pattern, pune university syllabus, old question papers

pune_eng chat

Horizontal lines at:
Guest Horizontal lines at:
AutoRM Data:
Box geometries: