Image Processing and Applications

Academic year : 2022-23 (M. Tech IT, Sem 1)

Course Essentials

•  Syllabus : View

• Academic calendar :  View

• Class Time table: View

• Evaluation pattern : TBD

Textbooks: 

1. A Computational Introduction to Digital Image Processing, Alasdair McAndrew, Second Edition, CRC Press, ISBN: 978-1-4822-4732-9-5 November 2015,2nd Edition (Modules 1-4).

2. Practical Machine Learning and Image Processing, Himanshu Singh, ISBN-13: 978- 1484241486, Apress-2019, (Module 5).

Web Resources

• NPTEL Course on Digital Image Processing : View