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Ghosting elimination with A#x2217; seam optimization in image stitching

机译:用*缝合在图像缝合中的幽灵消除

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This paper presents an algorithm for eliminating the blurred image regions during image stitching. Since the camera is close to the objects when capturing the images in the indoor environments, stitching the images in the indoor scenes easily generates the blurred ghosting region. Here the reasons of blurred region generations can be categorized into two kinds. First, the slight camera vibration may result in the whole images unclear over a short span of frames. These unclear frames can be filtered out by distinguishing the clearness of the edge images between different scales. The other reason for originating the blurred region is that several image frames contain the same scene from different views. There may exist the inconsistent structures and observations in these different views. The color blending is performed to let the seam between aligned images smooth, however, it also makes these inconsistent region blurred, which is called the ghosting effect. Here, an optimal seam selection algorithm is proposed by utilizing the A∗ search algorithm to find a segment path away from the inconsistent overlap region and then remove the ghosting effect. The experimental results validate that the proposed algorithm can obtain the mosaic image with good quality and clear resolution.
机译:本文介绍了一种用于在图像缝合期间消除模糊图像区域的算法。由于相机在捕获室内环境中的图像时接近对象,因此在室内场景中拼接图像轻松产生模糊的重影区域。在这里,模糊区域世代的原因可以分为两种。首先,略微的相机振动可能导致整个图像在短跨度帧上不清楚。可以通过区分不同尺度之间的边缘图像的暗度来滤除这些不清晰的帧。始发模糊区域的另一个原因是几个图像帧包含来自不同视图的相同场景。这些不同视图中可能存在不一致的结构和观察。执行颜色混合以使接缝在对准图像之间平滑,然而,它也使得这些不一致的区域模糊,这被称为重影效应。这里,通过利用a *搜索算法找到远离不一致重叠区域的段路径,然后去除重影效果来提出最佳接缝选择算法。实验结果验证了所提出的算法可以获得质量良好和清晰分辨率的马赛克图像。

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