Course Name: Digital Image Processing

Course abstract

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. Another major application area is in efficient storage and transmission of images. This course will introduce various image processing techniques, algorithms and their applications.


Course Instructor

Media Object

Prof. Prabir Kumar Biswas

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.
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Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Sep-Dec 2020

  View Course

 Enrollment : 20-May-2020 to 21-Sep-2020

 Exam registration : 14-Sep-2020 to 02-Nov-2020

 Exam Date : 19-Dec-2020

Enrolled

7121

Registered

426

Certificate Eligible

320

Certified Category Count

Gold

10

Silver

65

Elite

135

Successfully completed

110

Participation

52

Success

Elite

Silver

Gold





Legend

AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40
BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed

Final Score Calculation Logic

  • Assignment Score = Average of best 8 out of 12 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Digital Image Processing - Toppers list
Top 1 % of Certified Candidates

NAYANA R SHENOY 93%

DR. AMBEDKAR INSTITUTE OF TECHNOLOGY BANGALORE

PRANAV M KULKARNI 92%

R V COLLEGE OF ENGINEERING

HARIHARAN S 92%


Top 2 % of Certified Candidates

RAJ KRISHAN GHOSH 91%

Indian Institute of Technology,Kharagpur

SURAJIT MANDAL 91%

B.P. PODDAR INSTITUTE OF MANAGEMENT AND TECHNOLOGY

SHREYA N S 90%

University Visvesvaraya College of Engineering

VIJAYA MADHAVI C M 90%

East Point College of Engineering and Technology

RAGI R G 90%

COLLEGE OF ENGINEERING,VADAKARA

SAYYAD MOHD ZAKARIYA 90%

ZAKIR HUSSAIN COLLEGE OF ENGINEERING AND TECHNOLOGY

NALLA LAKSHMI VENKATESH 90%


Top 5 % of Certified Candidates

PRIYANSHI PARAUHA 88%

MADHAV INSTITUTE OF TECHNOLOGY & SCIENCE

MOHIT VENKATESH 88%

R V COLLEGE OF ENGINEERING

SANKIRNA DEVIDAS JOGE 87%

SMT. KASHIBAI NAVALE COLLEGE OF ENGINEERING

POREDDY AJAY KUMAR REDDY 87%

INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, DESIGN AND MANUFACTURING, KANCHEEPURAM

MANIKANDAN V P 86%

VIT UNIVERSITY-VELLORE

PRAVEER SAXENA 86%

NATIONAL INSTITUTE OF TECHNOLOGY PATNA

JYOTHESWAR J 86%

Bharat Electronics Limited

Enrollment Statistics

Total Enrollment: 7121

Registration Statistics

Total Registration : 426

Assignment Statistics




Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.