Eliminating ghosting and exposure artifacts in image mosaics
Eliminating ghosting and exposure artifacts in image mosaics
复制标题
DOI：
10.1109/cvpr.2001.991005
复制
发表时间：
2001-12
期刊：
影响因子：
--
通讯作者：
M. Uyttendaele;Ashley M. Eden;R. Szeliski
中科院分区：
文献类型：
--
作者：
M. Uyttendaele;Ashley M. Eden;R. Szeliski
随着全景摄影越来越受欢迎，对自动创建全景图像的高质量软件的需求越来越大。现有的算法要么产生一个粗糙的“缝合”，不能处理常见的工件，或需要用户输入。本文提出了两种方法来处理在实践中经常出现的文物。我们的第一个贡献是一种方法，用于处理对象之间移动的动态场景的不同视图。如果这样的移动对象留在，他们将出现模糊和“鬼影”。将这些区域视为图中的节点，我们使用顶点覆盖算法来选择性地删除每个对象的所有实例，但只保留一个实例。我们的第二个贡献是一种连续调整多张图像曝光的方法，以消除亮度或色调的可见变化。我们逐块计算曝光校正，然后使用样条平滑地插值参数以获得空间连续的曝光调整。我们的增强功能，结合以前发布的自动图像拼接技术，导致高质量的自动化图像拼接器，比现有的软件表现出更少的文物。
As panoramic photography becomes increasingly popular, there is a greater need for high-quality software to automatically create panoramic images. Existing algorithms either produce a rough "stitch" that cannot deal with common artifacts, or require user input. This paper presents methods for dealing with two artifacts that often occur in practice. Our first contribution is a method for dealing with objects that move between different views of a dynamic scene. If such moving objects are left in, they will appear blurry and "ghosted". Treating such regions as nodes in a graph, we use a vertex cover algorithm to selectively remove all but one instance of each object. Our second contribution is a method for continuously adjusting exposure across multiple images in order to eliminate visible shifts in brightness or hue. We compute exposure corrections on a block-by block basis, then smoothly interpolate the parameters using a spline to get spatially continuous exposure adjustment. Our enhancements, combined with previously published techniques for automatic image stitching, result in a high-quality automated stitcher that exhibits far fewer artifacts than existing software.