Seam carving is an advanced image resizing technique that removes low-energy seams from an image to reduce its size while preserving important content.
- Uses pixel energy mapping to identify the least important seams.
- Removes seams iteratively to achieve the target size.
- Implements two approaches:
- Greedy Algorithm: Removes seams based on a local energy minimum.
- Dynamic Programming: Finds globally optimal seams for better results.
| Greedy Algorithm | Dynamic Programming |
|---|---|
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The Greedy method may distort important details, while Dynamic Programming retains the structure of the castle more effectively.