17CS753 Digital Image Processing syllabus for CS



A d v e r t i s e m e n t

Module-1 Introduction 8 hours

Introduction

Fundamental Steps in Digital Image Processing, Components of an Image Processing System, Sampling and Quantization, Representing Digital Images (Data structure), Some Basic Relationships Between Pixels- Neighbors and Connectivity of pixels in image, Applications of Image Processing: Medical imaging, Robot vision, Character recognition, Remote Sensing.

Module-2 Image Enhancement In The Spatial Domain 8 hours

Image Enhancement In The Spatial Domain:

Some Basic Gray Level Transformations, Histogram Processing, Enhancement Using Arithmetic/Logic Operations, Basics of Spatial Filtering, Smoothing Spatial Filters, Sharpening Spatial Filters, Combining Spatial Enhancement Methods.

Module-3 Image Enhancement In Frequency Domain 8 hours

Image Enhancement In Frequency Domain:

Introduction, Fourier Transform, Discrete Fourier Transform (DFT), properties of DFT , Discrete Cosine Transform (DCT), Image filtering in frequency domain.

Module-4 Image Segmentation 8 hours

Image Segmentation:

Introduction, Detection of isolated points, line detection, Edge detection, Edge linking, Region based segmentation- Region growing, split and merge technique, local processing, regional processing, Hough transform, Segmentation using Threshold.

Module-5 Image Compression 8 hours

Image Compression:

Introduction, coding Redundancy , Inter-pixel redundancy, image compression model, Lossy and Lossless compression, Huffman Coding, Arithmetic Coding, LZW coding, Transform Coding, Sub-image size selection, blocking, DCT implementation using FFT, Run length coding.

 

Course outcomes:

The students should be able to:

  • Explain fundamentals of image processing
  • Compare transformation algorithms
  • Contrast enhancement, segmentation and compression techniques

 

Question paper pattern:

  • The question paper will have ten questions.
  • There will be 2 questions from each module.
  • Each question will have questions covering all the topics under a module.
  • The students will have to answer 5 full questions, selecting one full question from each module.

 

Text Books:

1. Rafael C G., Woods R E. and Eddins S L, Digital Image Processing, Prentice Hall, 3rd edition, 2008.

 

Reference Books:

1. Milan Sonka,”Image Processing, analysis and Machine Vision”, Thomson Press India Ltd, Fourth Edition.

2. Fundamentals of Digital Image Processing- Anil K. Jain, 2nd Edition, Prentice Hall of India.

3. S. Sridhar , Digital Image Processing, Oxford University Press, 2nd Ed, 2016.

Last Updated: Tuesday, January 24, 2023