We present a new, high-quality compositing pipeline and navigation approach for variable resolution imagery. The motivation of this work is to explore the use of variable resolution images as a quick and accessible alternative to traditional gigapixel mosaics. Instead of the common tedious acquisition of many images using specialized hardware, variable resolution images can achieve similarly deep zooms as large mosaics, but with only a handful of images. For this approach to be a viable alternative, the state-of-the-art in variable resolution compositing needs to be improved to match the high-quality approaches commonly used in mosaic compositing. To this end, we provide a novel, variable resolution mosaic seam calculation and gradient domain color correction. This approach includes a new priority order graph cuts computation along with a practical data structure to keep memory overhead low. In addition, navigating variable resolution images is challenging, especially at the zoom factors targeted in this work. To address this challenge, we introduce a new image interaction for variable resolution imagery: a pan that automatically, and smoothly, hugs available resolution. Finally, we provide several real-world examples of our approach producing high-quality variable resolution mosaics with deep zooms typically associated with gigapixel photography.

中文翻译：

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可变分辨率图像的自适应合成和导航

我们为可变分辨率图像提供了一种新的、高质量的合成管道和导航方法。这项工作的动机是探索使用可变分辨率图像作为传统千兆像素马赛克的快速且可访问的替代方案。与使用专用硬件对许多图像进行常见的繁琐采集不同，可变分辨率图像可以实现与大型马赛克类似的深度缩放，但只需要少量图像。为了使这种方法成为可行的替代方案，需要改进可变分辨率合成的最新技术，以匹配马赛克合成中常用的高质量方法。为此，我们提供了一种新颖的、可变分辨率的马赛克接缝计算和梯度域颜色校正。这种方法包括一个新的优先级顺序图削减计算以及一个实用的数据结构，以保持较低的内存开销。此外，导航可变分辨率图像具有挑战性，尤其是在这项工作中针对的缩放系数。为了应对这一挑战，我们为可变分辨率图像引入了一种新的图像交互：自动、平滑地拥抱可用分辨率的平移。最后，我们提供了几个真实世界的例子，说明我们的方法产生高质量的可变分辨率马赛克，具有通常与千兆像素摄影相关的深度变焦。我们为可变分辨率图像引入了一种新的图像交互：一个自动、平滑地拥抱可用分辨率的平移。最后，我们提供了几个真实世界的例子，说明我们的方法产生高质量的可变分辨率马赛克，具有通常与千兆像素摄影相关的深度变焦。我们为可变分辨率图像引入了一种新的图像交互：一个自动、平滑地拥抱可用分辨率的平移。最后，我们提供了几个真实世界的例子，说明我们的方法产生高质量的可变分辨率马赛克，具有通常与千兆像素摄影相关的深度变焦。