In recent years, image retargeting has been an active research topic due to the rapid growth of mobile devices and display screens with different resolutions and aspect ratios. To address this problem, various content-aware image-retargeting approaches have been proposed to retarget images while preserving important regions and minimizing distortions. In our research, the goal is to propose a n...

Image retargeting aims to change the resolution and aspect ratio of an image to fit it into different devices. The key and most challenging issue for this task is how to balance the tradeoff between preserving the important contents and minimizing the visual distortions. In this paper, we present an effective image retargeting method called concepts-based mesh parameterization. Specifically, we...

Content-aware image retargeting has attracted substantial research interests in the related research community. However, so far there is still no method can preserve important image contents and structure well without introducing deformation. To address this problem, we propose a Saliency & Structure Preserving Multi-operator (SSPM) method. SSPM classifies images into three categories utilizing...

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 ...

Humans have always sought to achieve aesthetics in art. In this paper, we present a novel approach for retargeting images to different aspect ratios while improving the composition aesthetics of the results. A simpler computational aesthetic energy is proposed and used to drive the salient objects and prominent lines to move towards their corresponding optimal positions. A mesh-based warping sc...