Generalized multiscale seam carving

Abstract

With the abundance and variety of display devices, novel image resizing techniques have become more desirable. Content-aware image resizing (retargeting) techniques have been proposed that show improvement over traditional techniques such as cropping and resampling. In particular, seam carving has gained attention as an effective solution, using simple filters to detect and preserve the high-energy areas of an image. Yet, it stands to be more robust to a variety of image types. To facilitate such improvement, we recast seam carving in a more general framework and in the context of filter banks. This enables improved filter design, and leads to a multiscale model that addresses the problem of scale of image features. We have found our generalized multiscale model to improve on the existing seam carving method for a variety of images.