Digital Image Processing

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DIGITAL IMAGE PROCESSING 3164804
FREE PDF 3164804
Code: 3164804 Credits: 4 Semester 6 CS-Cyber

Digital Image Processing

Get the full GTU study material, English & Gujarati textbook PDFs, syllabus curriculum, and solved previous year question papers.

Digital Image Processing Syllabus — Unit-wise Content

The official GTU curriculum for Digital Image Processing (subject code 3164804) as prescribed for CS-Cyber · Semester 6 divides the course into 7 units, covering 32 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.

Download the official syllabus PDF (3164804)

Unit 1 Digital image fundamentals

  • Light and Electromagnetic spectrum
  • Components of Image processing system
  • Image formation and digitization concepts
  • Neighbours of pixel adjacency connectivity
  • regions and boundaries
  • Distance measures

Unit 2 Image Enhancements

15 lecture hours

  • In spatial domain: Basic gray level transformations
  • Histogram processing
  • Using arithmetic/Logic operations
  • smoothing spatial filters
  • Sharpening spatial filters
  • In Frequency domain: Introduction to the Fourier transform and frequency domain concepts
  • smoothing frequency-domain filters
  • Sharpening frequency domain filters

Unit 3 Image Restoration

7 lecture hours

  • Various noise models
  • image restoration using spatial domain Filtering
  • image restoration using frequency domain filtering
  • Estimating the degradation function
  • Inverse filtering.

Unit 4 Colour Image processing

  • Colour fundamentals
  • Colour models
  • Colour transformation
  • Smoothing and Sharpening
  • Colour segmentation. 05 05

Unit 5 Wavelet and Multi-resolution processing

  • Image pyramids
  • Multi- resolution expansion
  • wavelet transform. 04 10

Unit 6 Image compression

  • Image compression model
  • Error-free compression
  • Lossy compression. 04 05

Unit 7 Image segmentation

  • Detection of discontinuities
  • Edge linking and boundary detection

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