Fundamentals of Image Processing
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Fundamentals of Image Processing Syllabus — Unit-wise Content
The official GTU curriculum for Fundamentals of Image Processing (subject code 2181102) as prescribed for ETC · Semester 8 divides the course into 4 units, covering 30 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 (2181102)Unit 1 Digital Image Fundamentals
- brightness adaption and discrimination
- Human visual system
- Image as a 2D data
- Image representation Gray scale and Colour images
- Image sampling and quantization
Unit 2 Image enhancement and filtering in spatial domain
- Intensity transformation functions: Contrast stretching
- Image negative
- Log transformation
- Power-low transformation
- Intensity level slicing and Bit-plane slicing
- Image histogram
- Histogram equalisation process
- Fundamentals of spatial filtering
- Correlation and convolution
- Spatial filtering mask for low pass filtering (smoothing) and high pass filtering (sharpening)
Unit 3 Image filtering in the frequency domain
- Preliminary Concepts
- Extension to functions of two variables
- Image Smoothing
- Image Sharpening
- Homomorphic filtering
- 2D- DFT, 2D- FFT, 2D- DCT, Fundamentals of 2D-wavelet transform
- Image pyramids
- sub-band coding
Unit 4 Image restoration
- Reasons for image degradation
- Model of image degradation/restoration process
- Noise probability density functions
- Image restoration using spatial filtering (Mean filters
- Order statistic filters and adaptive filters)
- Inverse Filtering
- MMSE (Wiener) Filtering
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