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Multi-operator Image Retargeting with Preserving Aspect Ratio of Important Contents

机译:保留重要内容的宽高比的多操作员图像重定向

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Content-aware image retargeting can preserve the quality of visually important objects during image resizing. However, some previous approaches fail to provide desired results as the sizes of the important objects in original images are larger than the target resolution of resized images. In this paper, we propose a novel multi-operator image retargeting scheme, which combines seam carving (SC) methods with uniform scaling techniques. To guarantee the quality of visually important objects, we stretch original images in both vertical and horizontal directions and then perform similarity transformation by using the indirect SC and uniform scaling methods. Besides, the direct SC method with gradient vector flow (GVF) is also employed to shrink the image finally. Experiments demonstrated that the proposed scheme could produce more desirable resized images than the existing methods.
机译:内容感知的图像重新定向可以在图像调整大小期间保留视觉上重要的对象的质量。但是,由于原始图像中重要对象的大小大于调整大小后的图像的目标分辨率,因此某些先前的方法无法提供所需的结果。在本文中,我们提出了一种新颖的多操作员图像重定位方案,该方案将接缝雕刻(SC)方法与统一缩放技术相结合。为了保证视觉上重要的对象的质量,我们在垂直和水平方向上拉伸原始图像,然后使用间接SC和统一缩放方法执行相似度转换。另外,还采用梯度矢量流法(GVF)直接进行SC法缩小图像。实验表明,与现有方法相比,该方案可以产生更理想的尺寸调整后的图像。

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