18EC733 Digital Image Processing syllabus for EC

Digital Image Fundamentals:

Whatis Digital Image Processing?, Origins of Digital Image Processing, Examples of fields that use DIP, Fundamental Steps in Digital Image Processing, Components of an Image Processing System, Elements of Visual Perception, Image Sensing and Acquisition.

(Text: Chapter 1and Chapter 2: Sections 2.1to 2.2, 2.6.2)

Image Enhancement in the Spatial Domain:

Image Sampling and Quantization, Some Basic Relationships Between Pixels, Linear and Nonlinear Operations. Some Basic Intensity Transformation Functions, Histogram Processing, Fundamentals of Spatial Filtering, Smoothing Spatial Filters, Sharpening Spatial Filters

(Text:Chapter2: Sections 2.3 to 2.62, Chapter3: Sections3.2 to3.6),

Frequency Domain:

Preliminary Concepts, The Discrete Fourier Transform (DFT) of TwoVariables, Properties of the 2-DDFT, Filtering in the Frequency Domain, Image Smoothing and Image Sharpening Using Frequency Domain Filters, Selective Filtering. (Text: Cbapter4: Sections 4.2, 4.5 to 4.10),

Restoration:

Noise models, Restorationin the Presence of Noise Only using Spatial Filtering and Frequency Domain Filtering, Linear, Position-Invariant degradations Estimating the Degradation Function, Inverse Filtering, Minimum Mean Square Error(Wiener) Filtering, Constrained Least Squares Filtering. (Text: Chapter 5: Sections 5.2, to 5.9)

Morphological Image Processing:

Preliminaries, Erosion and Dilation, Opening and Closing.

Image Processing:

Color Fundamentals, Color Models, Pseudo color Image Processing. (Text: Chapter 6: Sections 6.1 to 6.3 Chapter 9: Sedions9.1 to 9.3)

Course Outcomes:

At the end of the course, students should be able to:

1. Describe the fundamentals ofdigital image processing.

2 Understand image formation and the role human visual system plays in perception of gray and color image data.

3. Apply image processing techniques in both the spatial and frequency (Fou­rier) domains.

4. Design and evaluate image analysis techniques

5. Conduct independent study and analysis of image Enhancement and restoration techniques.

Question paper pattern:

• Examination will be conducted for 100 marks with question paper containing 10 full questions, each of 20 marks. 
• Each full question can have a maximum of 4 sub questions.
• There will be 2 full questions from each module covering all the topics of the module.
• Students will have to answer 5 full questions, selecting one full question from each module.
• The total marks will beproportionally reduced to 60 marks as SEE marks is 60.

TextBook:

• Digital Image Processing- Rafel C Gonzalez and Richard E. Woods, PHI 3rd Edition 2010.

Reference Books:

1. Digital Image Proce&< ing- S.Jayaraman, S. Esakkirajan,T. Veerakumar, TataMcGrawHill2014.

2. Fundamentals of Digital Image Processing- A K. Jain, Pearson 2004.

3. Image Processing analysis and Machine vision with Mind Tap by Milan Sonka and Roger Boile, Cengage Publications, 2018.