Image Retargeting via Beltrami Representation

Image retargeting via Beltrami representation

Image retargeting aims to resize an image to one with a prescribed aspect ratio. Simple scaling inevitably introduces unnatural geometric distortions on the important content of the image. In this paper, we propose a simple and yet effective method to resize an image, which preserves the geometry of the important content, using the Beltrami representation. Our algorithm allows users to interact...

Multiscale Representation of Deformation via Beltrami Coefficients

Algorithms for image saliency via sparse representation and multi-scale inputs image retargeting.

Saliency detection is an important yet challenging task in computer vision. In this report we investigate the use of sparse coding over redundant dictionary for saliency detection. We attempt to present a small fraction of the growing knowledge regarding sparse representation over redundant dictionary and discuss some potential usage of this powerful tool for saliency detection task. We propose...

Robust Image Retargeting via Axis-Aligned Deformation

We propose the space of axis-aligned deformations as the meaningful space for content-aware image retargeting. Such deformations exclude local rotations, avoiding harmful visual distortions, and they are parameterized in 1D. We show that standard warping energies for image retargeting can be minimized in the space of axis-aligned deformations while guaranteeing that bijectivity constraints are ...

Image Processing via the Beltrami Operator

We present a framework for enhancing images while pre serving either the edge or the orientation dependent texture informa tion present in them We do this by treating images as manifolds in a feature space This geometrical interpretation leads to a natural way for grey level color movies volumetric medical data and color texture im age enhancement Following this we invoke the Polyakov action fr...