Digital Image Processing

Digital image processing deals with processing of images which are digital in nature. Study of the subject is motivated by three major applications. The first application is in improvement of pictorial information for human perception i.e. enhancing the quality of the image so that the image will have a better look. The second is for autonomous machine applications which have wider applications in industries, particularly for quality control in assembly automation and many similar applications. This course will introduce various image processing techniques, algorithms and their applications.

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Final Exam (in-person, invigilated, currently conducted in India) is mandatory for Certification and has INR Rs. 1100 as exam fee

Intended Audience

Elective course
UG or PG
BE/ME/MS/PhD

Pre-requisites Concepts of Digital Signal Processing Industry Support - List of Companies/Industry that will Recognize/value this online course

Defense labs like DRDO, Space ISRO, TCS

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Untitled Document Course Instructor

Dr. Prabir Kr. Biswas completed his B.Tech(Hons), M.Tech and Ph.D from the Department of Electronics and Electrical Communication Engineering, IIT Kharagpur, India in the year 1985, 1989 and 1991 respectively. From 1985 to 1987 he was with Bharat Electronics Ltd. Ghaziabad as a deputy engineer. Since 1991 he has been working as a faculty member in the department of Electronics and Electrical Communication Engineering, IIT Kharagpur, where he is currently holding the position of Professor and Head of the Department. Prof. Biswas visited University of Kaiserslautern, Germany under the Alexander von Humboldt Research Fellowship during March 2002 to February 2003. Prof. Biswas has more than a hundred research publications in international and national journals and conferences and has filed seven international patents. His area of interest are image processing, pattern recognition, computer vision, video compression, parallel and distributed processing and computer networks. He is a senior member of IEEE and was the chairman of the IEEE Kharagpur Section, 2008.

Untitled Document Course layout Week 1:Introduction and signal digitization Week 2:Pixel relationship Week 3:Camera models & imaging geometry Week 4:Image interpolation Week 5:Image transformation Week 6:Image enhancement I Week 7:Image enhancement II Week 8:Image enhancement III Week 9:Image restoration I Week 10:Image restoration II & Image registration Week 11:Colour image processing Week 12:Image segmentation Week 13:Morphological image processing Week 14:Object representation, description and recognition suggested reading
  1. Digital Image Processing by Rafael C Gonzalez & Richard E Woods, 3rd Edition
  2. Fundamentals of Digital Image Processing by Anil K Jain
  3. Digital Image Processing by William K Pratt
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