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RTU 2016 Question Paper Semester VIII Computer Science and Engineering Digital Image Processing

Download RTU 2016 Question Paper Semester VIII Computer Science and Engineering Digital Image Processing PDF. Semester Exam is conducted by Rajasthan Technical University. You can get all Computer Science and Engineering Digital Image Processing previous year question papers at aglasem.com for free. RTU Previous Year Question Papers will help you prepare for upcoming semester examination. RTU 2016 Question Paper Semester VIII Computer Science and Engineering Digital Image Processing is given below. More Detail
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RTU 2016 Question Paper Semester VIII Computer Science and Engineering Digital Image Processing is available here for free download. Published by Default for Semester Exams, this question paper can be viewed online or downloaded as a PDF (2 pages). Candidates preparing for Semester Exams can use RTU 2016 Question Paper Semester VIII Computer Science and Engineering Digital Image Processing to understand the exam pattern, the type of questions asked, and the overall difficulty level.

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RTU 2016 Question Paper Semester VIII Computer Science and Engineering Digital Image Processing contains 2 pages, which you can read online or download together as a single PDF.

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RTU 2016 Question Paper Semester VIII Computer Science and Engineering Digital Image Processing – Text

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tso)"t.1 i:r*,i,; t ft"i: 'i L t," h'G F'' s il $a Lf' ;-fi l GI \o Fl B.Tech. VIII semester (Main) Examination, AprivMay zafi € Computer Science & Engineering Frl € 8CS2A Digital Image processing Common With SIT2A Time : 3 Hours Maximurn Marks : 80 Min. Passing Marks : 24 fnsfiuctions to Candidates: Attempt any five questions, selecting one question each unit. All questions carry equal marks- (Schematic diograrns must befromshown wherever necessary. Any data you feel missing suitably be assumed and stated clearly. (tnits of quantities used/carcurated must be stated crearry. Unir - I 1. Explain the concept ofimage representation and differentiate the image compression 1. what is image quantization? Expla,*?lu*ura.r & image quantization in detail{16) Unit - U 7 a)Graylevel 0234567g No ofpixels 100 90 g5 70 0 0 0 0 Perform histogram stretching so that the new image has a dynarnic range of (0,8) (B) b) What do you mean a Fourier transforms? Explain its properties in detail (S) oR" 2. Describe the basic principles of image enhancement by a) spatial *lomain methods b) Frequency domain methods (8x2=16) 8E&162 hom (1) [Cont..

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r Unit - III 3. Designhomomorphic filtering. Explainhomomorphic filteringmodel. Howdowe get back the modified image? (16) OR 3. a) Explainthe general image restoration models (8) b) Explain the various noise models in details (8) Unit - IV 4. Find the Huffman coding for given seven letters along with probability of occurrence Letters Probability B 0.110 A 0.154 G 0.011 D 0.063 E 0.059 C 0"072 F 0.015 (16) OR 4. Describe JPEG in detail (16) Unit - V a) Given 5 points, use Hough transform to drarv a line joining these points (1,4),(2,3),(3, I ),(4, 1 ),(5,0) (8) b) Explain region based segmentation with suitable example (8) OR 5. Write short notes on (any two):- D Image segmentation ii) EDGE linking iii) Thresholding lv) Boundary linking (8x2=16)

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Board / OrgDefault
ExamSemester Exams
TypeQuestion Paper
Pages2
Updated15 Jul 2026

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