Various techniques used for Image Processing. The techniques include:
- Zooming In - downsampling an image
- Zooming Out - upsampling an image. Algorithms implemented are:
- Nearest Neighbor
- Linear Interpolation in the x direction
- Linear Interpolation in the y direction
- Bilinear
- Bit Removal - Removing a bit plane by setting that bit plane to 0
- Histogram Equalization - Perform histogram equalization on an image. The implemented algorithms are:
- Global Histogram Equalization
- Local 3x3 Mask
- Local 5x5 Mask
- Local 7x7 Mask
- Local 9x9 Mask
- Spatial Filtering Restoration - Remove noise from an image. The implemented algorithms are:
- Arithmetic mean filter
- Geometric mean filter
- Harmonic mean filter
- Contraharmonic mean filter
- Max filter
- Min filter
- Midpoint filter
- Alpha-trimmed mean filter
- Spatial Filtering Smoothing - Blur and sharpen an image. The implemented algorithms are:
- Smoothing filter
- Mean filter
- Sharpening Laplacian filter
- High-boost filter
- Image Compression - Various image compression/decompression techniques. The implemented algorithms are:
- Run Length End (RLE) on grayscale values
- RLE on Bit Planes
- Huffman Encoding/Decoding
- Lempel–Ziv–Welch (LZW) Encoding/Decoding
