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An advanced image processing tool that leverages dynamic seam carving to resize images while preserving important features. Combines edge energy, saliency, depth, and entropy maps to optimize seam removal and provides real-time visualization during processing. 🚀🔍
This repository provides an implementation of the Seam Carving algorithm, a dynamic programming-based approach for content-aware image resizing. It reduces image size by removing pixels iteratively, focusing on the lowest energy seam.
This is my implementation of the simplified version of the seam carving - an algorithm developed by S.Avidan and A.Shamir. Seam carving is an algorithm for 'content-aware' image resizing. The main idea is to resize an image by removing only the least noticeable pixels. I have also made a small web app used to generate interesting results.
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