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Implementing Seam Carving for Image Resizing
http://pages.cs.wisc.edu/~moayad/cs766/index.html
Seam carving is a method for resizing images to a desired target size with the goal of preserving the contents of the image. Introduced by Avidan & Shamir ,it is a content-aware procedure that supports reduction and expansion. A seam is simply a connected path of pixels that extends from top-to-bottom or left-to-right in an image.
Seam Carving - ctralie.com
http://www.ctralie.com/Teaching/SeamCarving/
The seam carving algorithm is a "content aware image resizer"; that is, it tries to do a better job than just uniform scale by choosing to erase areas of the image that are "less noticeable." It removes a "seam" from an image, which is a line of connected pixels from top to bottom or left to right whose presence is the least noticeable if removed.
Implementing Seam Carving for Image Resizing
http://pages.cs.wisc.edu/~moayad/cs766/download_files/alnammi_cs_766_final_report.pdf
Seam carving is a method for resizing images to a desired target size with the goal of preserving the contents of the image. Introduced by Avidan & Shamir [1],it is a content-aware procedure that supports reduction and expansion. A seam is simply a connected path of pixels that
Seam Carving for Content-Aware Image Resizing
https://www.seamcarving.com/
Seam carving for content-aware image resizing [20 MB PDF] Seam carving is an image resizing algorithm developed by Shai Avidan and Ariel Shamir. This algorithm alters the dimensions of an image not by scaling or cropping, but rather by intelligently removing pixels from (or adding pixels to) the image that carry little importance.
Seam Carving for Content-Aware Image Resizing
https://perso.crans.org/frenoy/matlab2012/seamcarving.pdf
Seam carving uses an energy function deļ¬ning the importance of pixels. A seam is a connected path of low energy pixels crossing the image from top to bottom, or from left to right. By successively removing or insert-ing seams we can reduce, as well as enlarge, the size of an image in both directions (see Figure 1). For image reduction, seam ...
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