EI3501: Signal and Image Processing syllabus for EIE 2021 regulation

Signal and Image Processing detailed syllabus for Electronics & Instrumentation Engineering (EIE) for 2021 regulation curriculum has been taken from the Anna University official website and presented for the EIE students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.

For Electronics & Instrumentation Engineering 5th Sem scheme and its subjects, do visit EIE 5th Sem 2021 regulation scheme. The detailed syllabus of signal and image processing is as follows.

Course Objectives:

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Unit I

DIGITAL IMAGE FUNDAMENTALS
Elements of digital image processing systems – Digital Image Representation- Elements of visual perception – Image acquisition – Image sampling and Quantization – Image geometry – Discrete Image Transforms- Properties- Color image fundamentals- RGB, HSI models.

Unit II

IMAGE PREPROCESSING AND ENHANCEMENT
Point processing methods:- Contrast stretching – Gray level slicing- Histograms, Histogram equalization and specification techniques, Spatial filtering, Directional Smoothing, Median, Geometric mean, and Harmonic mean filters – Color image enhancement.

Unit III

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Unit IV

DIGITAL VIDEO PROCESSING
Video acquisition – Inter-frame processing, Motion Estimation and Compensation – Filtering -Video segmentation – Tracking by detection – Tracking multiple objects.

Unit V

APPLICATIONS OF IMAGE AND VIDEO PROCESSING
Applications in measurements, manufacturing, medicine, agriculture and food industry – Case studies.

Skill Development Activities

(Group Seminar/Mini Project/Assignment/Content Preparation / Quiz/ Surprise Test / Solving GATE questions/ etc)

1. Conduct Quiz among different groups to make the student familiar with the concept of signal and image processing.
2. Train students to use Image Processing Toolbox in Matlab.
3. Demonstrate Image compression, Image enhancement technique and various Image formats.
4. Conduct studies on variable frame rate based video processing

Course Outcomes:

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Text Books:

1. Rafael C. Gonzalez, Richard E. Woods, , Digital Image Processing�, Pearson, Education, Inc., Second Edition, 2004.
2. Anil K. Jain, Fundamentals of Digital Image Processing�, Pearson Education, Inc., 2002.
3. Thomas. B. Moeslund, �Introduction to Video and Image Processing�, Springer, 2012.

Reference Books:

1. Rafael C. Gonzalez, Richard E. Woods, Steven Eddins, �Digital Image Processing using MATLAB� Pearson Education, Inc., 2004.
2. John W. Woods, �Multidimensional Signal, Image and Video Processing�, Elsevier, 2nd Edition 2011.
3. William K. Pratt, �Digital Image Processing�, John Wiley, New York, 2002.
4. Alan C. Bovik, �Handbook of image and video processing� Elsevier Academic press, 2005.
5. A. Murat Tekalp, �Digital Video Processing�, Prentice Hall, 2nd Edition, 2015.

List of Open Source Software/ Learning Website:

1. https://nptel.ac.in/courses/108105055
2. https://lecturenotes.in/m/16657-note-for-digital-image-processing-dip-by-ankita-singh
3. https://ceat.okstate.edu/ece/research/ece-old-files/signal-image-video-processing.html
4. https://nptel.ac.in/courses/108106168.

For detailed syllabus of all other subjects of Electronics & Instrumentation Engineering, 2021 regulation curriculum do visit EIE 5th Sem subject syllabuses for 2021 regulation.

For all Electronics & Instrumentation Engineering results, visit Anna University EIE all semester results direct link.