Seam carving is an algorithm that can be used to resize an image while removing the least important pixels from it.
One possible implementation is to use an edge-detection algorithm first to create an edge-map[1]. This is followed by finding continuous lines that run from top to the bottom, where the only directions of movement allowed are “south”, “south-east” and “south-west”, that minimize the sum of “edge” values. This can be solved using a dynamic programming approach of starting at the bottom and assigning the “minimum-cost-to-bottom” to each cell.
Once this is done, we can find the path throug hthe image with the least cost and remove it.
References
[1] “Seam Carving | Week 2 | 18.S191 MIT Fall 2020 | Grant Sanderson”