Image Processing

Academic Year 2019-2020

B.E.(Electronics Engineering) Part-I Semester VII (Revised) from June 2016

Course Objectives:

1. To learn the fundamental concepts of Digital Image Processing and study basic image processing operations.

2. To cover the basic analytical methods which are widely used in image processing; linear and nonlinear filtering; and image transformations for coding and restoration.

3. To design and implement algorithms for advanced image analysis.

4. To expose students to current applications in the field of digital image processing.

Course Outcomes:

After successful completion of the course, students will be able to:

1. Apply principles and techniques of digital image processing in applications related to digital imaging system design and analysis.

2. Analyze and implement image processing algorithms.

3. Hands-on experience in using software tools for processing digital images. 

Lecture Plan: Please Click here to view Lecture plan

                         Division A

                         Division B

Syllabus: Please Click here to see DIP syllabus

Assignments

• • Question Bank I : Assignment 1 and 2

  • Question Bank II :Assignment 3 and 4

List of Projects for PBL

Textbooks:

1.  Rafael C. Gonzalez and Richard E. Woods, “Digital image processing”, Pearson Education publication,3/e.

2. Bernd Jähne, Digital Image Processing, Springer

3. Bernd Jähne, Practical Handbook on IMAGE PROCESSING for SCIENTIFIC and TECHNICAL APPLICATIONS, CRC Press

4. Milan Sonka,Vaclav Hlavac, Roger Boyle, Image Processing Analysis, and Machina Vision, Thomson

5.  S. Sridhar, “Digital Image Processing”, Oxford publication.

6.  Malay K. Pakhira, “Digital Image Processing and Pattern Recognition”, PHI Publication.