Image Processing
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Follow on Instagram for UpdatesImage Processing Syllabus — Unit-wise Content
The official GTU curriculum for Image Processing (subject code ME01000681) as prescribed for CEE · Semester 1 divides the course into 8 units, covering 48 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 (ME01000681)Unit 1 Digital Image Fundamentals
- Light and Electromagnetic spectrum
- Components of Image processing system
- Image formation and digitization concepts
- Image as 2D data
- Image Representation –Grey and Color images
- Image Sampling and Quantization
- Neighbours of pixel adjacency connectivity
- regions and boundaries
- Distance measures
Unit 2 Image Enhancements
- 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
- Various noise models
- adaptive filters
- Band reject
- Band pass and notch filters
- 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. 4 12
Unit 5 Wavelet and Multi-resolution processing
- Image pyramids
- Multi-resolution expansion
- wavelet transform
- Harr Transform
Unit 6 Image Compression
- Image compression model
- Error-free compression
- Lossy compression Program Name: Master of Engineering Level: PG Branch: Computer Engineering Course / Subject Code : ME01000681 Course / Subject Name: Image Processing
Unit 7 Morphological Image processing
- Dilation and Erosion
- Opening and Closing
- Hit-or-Miss Transformation
- Basic morphological algorithms for boundary extraction
- Region filling
- extraction of connected components
- thinning and thickening
Unit 8 Image Segmentation
- Edge based segmentation
- Region based segmentation
- Region split and merge techniques Detection of discontinuities
- Edge linking and boundary detection
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