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PA1: Gray-Level Transformations
- Image Resizing: Image Shrinking, Image Enlargement using Bilinear Interpolation, Image Enlargement using Nearest-Neighbor Interpolation
- Linear Contrast Stretching
- Histogram Equalization
- Histogram Matching
- Adaptive Histogram Equalization
- Contrast-Limited Adaptive Histogram Equalization
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PA2: Filtering
- Image Sharpening
- Edge-Preserving Smoothing using Bilateral Filtering
- Edge-preserving Smoothing using Patch-Based Filtering
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PA3: Segmentation
- Harris Corner Detection
- Image Segmentation using Mean Shift
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PA4: Face Recognition
- Using Principal Compenent Analysis
- Improved Algorithm by exploiting the low-rank approximation using Singular Value Decomposition
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PA5:
- Discrete Fourier Transform (DFT)
- Frequency Domain Filtering
- PCA Based Filtering