Seam Carving Application

Using Greedy Algorithm and Dynamic Programming

Seam carving is an advanced image resizing technique that removes low-energy seams from an image to reduce its size while preserving important content.

How It Works

• 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.

Example

Original Image (1428 x 968)

Resized Image (400 x 400)

Greedy Algorithm	Dynamic Programming

The Greedy method may distort important details, while Dynamic Programming retains the structure of the castle more effectively.