Roundness-Preserving Warping for Aesthetic Enhancement-Based Stereoscopic Image Editing

Abstract

Image editing is an effective solution to adapt contents for different applications. In this paper, we present a roundness-preserving warping model for stereoscopic image editing, in which energy constraints from image quality energy, aesthetics energy and depth adaptation energy are involved in the framework to solve the optimization. Specifically, to preserve object roundness during warping, the relationship between object's shape and disparity is established and is applied for depth adaptation. Different from the existing stereoscopic image editing methods, the main innovations of our method are to achieve a tradeoff in balancing information loss and reducing semantic distortion while providing a novel death adaptation model for recomposition and retargeting applications. Experimental results demonstrate the effectiveness of our method in enhancing the aesthetics of stereoscopic images.