CSE

18CS741: Digital Image Processing CSE Syllabus for BE 7th Sem 2018 Scheme VTU (Professional Elective-3)

Digital Image Processing detailed Syllabus for Computer Science & Engineering (CSE), 2018 scheme has been taken from the VTUs official website and presented for the VTU students. For Course Code, Subject Names, Teaching Department, Paper Setting Board, Theory Lectures, Tutorial, Practical/Drawing, Duration in Hours, CIE Marks, Total Marks, Credits and other information, visit full semester subjects post given below. The Syllabus PDF files can also be downloaded from the official website of the university.

For all the other VTU CSE 7th Sem Syllabus for BE 2018 Scheme, visit Computer Science & Engineering 7th Sem 2018 Scheme.

For all the (Professional Elective-3) subjects refer to Professional Elective-3 Scheme. The detail syllabus for digital image processing is as follows.

Course Objectives:

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

Module 1

Introduction Fundamental Steps in Digital Image Processing, Components of an Image Processing System, Sampling and Quantization, Representing Digital Images (Data structure), Some Basic Relationships Between Pixels- Neighbors and Connectivity of pixels in image, Examples of fields that uses digital mage processing

Module 2

Image Enhancement In The Spatial Domain: Some Basic Gray Level Transformations, Histogram Processing, Enhancement Using Arithmetic/Logic Operations, Basics of Spatial Filtering, Smoothing Spatial Filters, Sharpening Spatial Filters, Combining Spatial Enhancement Methods.

Module 3

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

Module 4

Image Segmentation: Introduction, Detection of isolated points, line detection, Edge detection, Edge linking, Region based segmentation- Region growing, split and merge technique, local processing, regional processing, Hough transform, Segmentation using Threshold.

Module 5

Image Compression: Introduction, coding Redundancy , Inter-pixel redundancy, image compression model, Lossy and Lossless compression, Huffman Coding, Arithmetic Coding, LZW coding, Transform Coding, Sub-image size selection, blocking, DCT implementation using FFT, Run length coding.

Course Outcomes:

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

Question paper pattern:

  • The question paper will have ten questions.
  • Each full Question consisting of 20 marks
  • There will be 2 full questions (with a maximum of four sub questions) from each module.
  • Each full question will have sub questions covering all the topics under a module.
  • The students will have to answer 5 full questions, selecting one full question from each module.

Text Books:

  1. Rafael C G., Woods R E. and Eddins S L, Digital Image Processing, Prentice Hall, 2nd edition, 2008.

Reference Books:

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

For the detail Syllabus of all other subjects of BE (CSE) 7th Sem, visit Computer Science & Engineering 7th Sem Subjects.

For all (CBSE & Non-CBSC) BE/B.Tech results, visit VTU BE/B.Tech all semester results.

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