# Image Transformation and Warping
Image transformation and warping are essential techniques for geometric manipulation of images, enabling applications from image registration to creative effects.
## Geometric Transformations
### Affine Transformations
Affine transformations preserve parallel lines and include:
- **Translation**: Moving images
- **Rotation**: Rotating images around a point
- **Scaling**: Resizing images
- **Shearing**: Distorting images along axes
### Projective Transformations
Projective (homography) transformations can represent perspective changes, useful for:
- Image stitching
- Camera calibration
- Perspective correction
## Image Warping
Image warping involves non-linear transformations that can:
- Correct lens distortion
- Create artistic effects
- Align images from different viewpoints
### Warping Methods
- **Thin Plate Spline (TPS)**: Smooth warping
- **Mesh-based Warping**: Control point-based deformation
- **Optical Flow**: Motion-based warping
## Applications
- **Medical Imaging**: Image registration and alignment
- **Computer Graphics**: Texture mapping and morphing
- **Photography**: Perspective correction and panorama creation
- **Computer Vision**: Feature matching and tracking
## Implementation
Modern implementations use:
- Matrix operations for transformations
- Interpolation methods (bilinear, bicubic)
- GPU acceleration for real-time processing
## Conclusion
Image transformation and warping are powerful tools that enable sophisticated image manipulation and analysis across many domains.