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Accumulative energy-based seam carving for image resizing

机译:基于蓄能的煤层雕刻雕刻大小

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摘要

With the diversified development of the digital devices, such as computer, mobile phone and television, how to resize an image or video to adapt to different display screens has been a heated topic. Seam carving does well in image resizing at most times, however, it sometimes produces discontinuity image content or impaired salient objects. Therefore, we propose an accumulative energy-based seam carving method for image resizing. We distribute the energy of each pixel on the seam to its adjacent 8-connected pixels to avoid the extreme concentration of seams. In addition, we add the image saliency and the edge information into the energy function to reduce the distortion. To compute more efficiently, we use parallel computing environment as well. Experimental results show that compared with the existing methods, our method can both avoid the discontinuity of image content and distortions as well as better maintain the shape of the salient objects.
机译:随着数字设备的多样化发展,如计算机,移动电话和电视,如何调整图像或视频以适应不同的显示屏,这是一个加热的主题。 接缝在大多数情况下在图像调整大小的图像中很好,但是,它有时会产生不连续性图像内容或损伤的突出物体。 因此,我们提出了一种用于图像调整大小的累积能源的扫描方法。 我们将接缝上的每个像素的能量分发给其相邻的8个连接像素,以避免接缝的极端浓度。 此外,我们将图像显着性和边缘信息添加到能量函数中以减小失真。 要更有效地计算,我们也使用并行计算环境。 实验结果表明,与现有方法相比,我们的方法都可以避免图像内容和失真的不连续,以及更好地保持突出物体的形状。

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