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.
More info

Teaching Assistant(s)

DEEP KIRAN SHROTI

MANOJ KUMAR SHARMA

 Course Duration : Jul-Oct 2016
  View Course
 Syllabus
 Enrollment : 23-May-2016 to 18-Jul-2016
 Exam registration : 25-Jul-2016 to 20-Sep-2016
 Exam Date : 16-Oct-2016, 23-Oct-2016

Enrolled

6662

Registered

378

Certificate Eligible

281

Certified Category Count

Gold

9

Elite

161

Successfully completed

111

Participation

50

Success

Elite

Gold




Legend

>=90 - Elite + Gold
60-89 - Elite
40-59 - Successfully Completed
<40 - No Certificate

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

YOGESH KARUNAKAR 96%

K.C. COLLEGE OF ENGINEERING & MANAGEMENT STUDIES & RESEARCH

S SUJANA 95%

VARDHAMAN COLLEGE OF ENGINEERING

DEVIKALYAN DAS 93%

VEER SURENDRA SAI UNIVERSITY OF TECHNOLOGY


Top 2 % of Certified Candidates

SUJATA SAMEET ALEGAVI 92%

THAKUR COLLEGE OF ENGINEERING AND TECHNOLOGY

D INDUMATHY 92%

RAJALAKSHMI ENGINEERING COLLEGE

NITIN V P 91%

SBMJCE

HRISHIKESH DUTTA 91%

NATIONAL INSTITUTE OF TECHNOLOGY SILCHAR


Top 5 % of Certified Candidates

VANI R 90%

MEENAKSHI COLLEGE OF ENGINEERING

SAMEER ACHARYA 90%

SARDAR PATEL COLLEGE OF ENGINEERING

ANIRUDDHA GARGE 89%

DWARKADAS J.SANGHVI COLLEGE OF ENGINEERING

RADHIKA GOEL 89%

KRISHNA ENGINEERING COLLEGE

KUSH RAGHUVANSHI 89%

UNIVERSITY INSTITUTE OF ENGINEERING & TECHNOLOGY

CHITHRA DEVI P 88%

KCET VIRUDHUNAGAR

MANJU C S 88%

DR N G P INSTITUTE OF TECHNOLOGY

PALADUGU RAJU 88%

GITAM INSTITUTE OF TECHNOLOGY

SEJAL BHAVIK SHAH 88%

K.J.SOMAIYA INSTITUTE OF ENGG. AND INFORMATION TECHNOLOGY,SION,MUMBAI

TUSHAR SURESH CHAUDHARI 88%

ST. JOHN COLLEGE OF ENGINEERING AND TECHNOLOGY

SHARAD KUMAR GUPTA 88%

MAHARANA PRATHAP ENGINEERING COLLEGE

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.