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Roundness-Preserving Warping for Aesthetic Enhancement-Based Stereoscopic Image Editing
IEEE Transactions on Circuits and Systems for Video Technology ( IF 8.3 ) Pub Date : 2020-07-20 , DOI: 10.1109/tcsvt.2020.3010181
Xiongli Chai , Feng Shao , Qiuping Jiang , Yo-Sung Ho

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.

中文翻译:

基于美学增强的立体图像编辑的保圆度翘曲

图像编辑是一种使内容适合不同应用程序的有效解决方案。在本文中,我们提出了一种用于立体图像编辑的保持圆度的翘曲模型,其中将来自图像质量能量,美学能量和深度适应能量的能量约束纳入框架中以解决优化问题。具体地,为了保持翘曲期间的物体圆度,建立了物体的形状和视差之间的关系并将其用于深度适应。与现有的立体图像编辑方法不同,我们的方法的主要创新在于在平衡信息丢失和减少语义失真的同时权衡,同时为重组和重新定位应用程序提供了新颖的死亡适应模型。
更新日期:2020-07-20
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