MCA

Image Processing Syllabus for MCA 3rd Year 1st Sem R19 Regulation JNTUH (Professional Elective-III)

Image Processing detailed Syllabus for Master of Computer Applications (MCA), R19 regulation has been taken from the JNTUH official website and presented for the students affiliated to JNTUH course structure. For Course Code, Subject Names, Theory Lectures, Tutorial, Practical/Drawing, Credits, and other information do visit full semester subjects post given below. The Syllabus PDF files can also be downloaded from the universities official website.

For all the other MCA 3rd Year 1st Sem Syllabus for R19 Regulation JNTUH, visit Master of Computer Applications 3rd Year 1st Sem R19 Scheme.

For all the (Professional Elective-III) subjects refer to Professional Elective-III Scheme. The detail syllabus for 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.

Course Outcomes:

  1. Demonstrate the knowledge of the basic concepts of two-dimensional signal acquisition, sampling, and quantization.
  2. Demonstrate the knowledge of filtering techniques.
  3. Demonstrate the knowledge of 2D transformation techniques.
  4. Demonstrate the knowledge of image enhancement, segmentation, restoration and compression techniques.

Unit I

Digital Image Fundamentals: Digital Image through Scanner, Digital Camera. Concept of Gray Levels. Gray Level to Binary Image Conversion. Sampling and Quantization. Relationship between Pixels. Imaging Geometry. 2D Transformations-DFT, DCT, KLT and SVD.

Unit II

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.

Unit III

Image Restoration Degradation Model, Algebraic Approach to Restoration, Inverse Filtering, Least Mean Square Filters, Constrained Least Squares Restoration, Interactive Restoration.

Unit IV

Image Segmentation Detection of Discontinuities, Edge Linking and Boundary Detection, Thresholding, Region Oriented Segmentation.

Unit V

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.

Text Books:

  1. Digital Image Processing: R.C. Gonzalez and R.E. Woods, 2nd Edition, Addison Wesley/ Pearson Education, 2004.

Reference Books:

  1. Fundamentals of Digital Image Processing: A.K.Jain , PHI.
  2. Digital Image Processing using MAT LAB: Rafael C. Gonzalez, Richard E. Woods, Steven L. Eddins: Pearson Education India, 2004.
  3. Digital Image Processing: William K. Pratt, John Wilely, 3rd Edition, 2004.

For detail Syllabus of all other subjects of 3rd Year 1st Sem Master of Computer Applications, visit MCA 3rd Year 1st Sem Syllabus Subjects.

For all MCA results, visit JNTUH MCA all years, and semester results from direct links.

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