Interactive digital photomontage

Interactive digital photomontage
复制标题

DOI:
10.1145/1015706.1015718
复制
发表时间:
2004-08-01
影响因子:
6.2
通讯作者:
Cohen, M
Cohen, M
中科院分区:
计算机科学1区
文献类型:
--
作者:
Agarwala, A;Dontcheva, M;Cohen, M

文献摘要

被引文献

相似文献

我们描述了一个交互式的,计算机辅助的框架,用于将一组照片的部分组合成一张合成图片,我们称之为“数字照片蒙太奇”的过程。“我们的框架主要使用两种技术:图形切割优化,在组成图像中选择良好的接缝,以便它们可以尽可能无缝地组合;梯度域融合,一个基于泊松方程的过程,以进一步减少合成中任何剩余的可见伪影。该框架的核心是一套交互式工具,允许用户指定各种高级别的图像目标,无论是全局的图像,或本地通过绘画风格的界面。图像物镜独立地应用于每个像素位置,并且通常涉及从源图像集中的相同位置绘制的像素值(诸如“最大对比度”)的函数。通常,用户迭代地应用一系列图像物镜以便创建完成的合成。这个框架的力量在于它的通用性,我们展示了它如何可以用于各种各样的应用程序,包括“选择性复合材料”(例如,集体照片中,每个人都看起来最好的),重新照明,扩展景深,全景拼接,干净的板生产,运动的频闪可视化,和延时马赛克。
We describe an interactive, computer-assisted framework for combining parts of a set of photographs into a single composite picture, a process we call "digital photomontage." Our framework makes use of two techniques primarily: graph-cut optimization, to choose good seams within the constituent images so that they can be combined as seamlessly as possible; and gradient-domain fusion, a process based on Poisson equations, to further reduce any remaining visible artifacts in the composite. Also central to the framework is a suite of interactive tools that allow the user to specify a variety of high-level image objectives, either globally across the image, or locally through a painting-style interface. Image objectives are applied independently at each pixel location and generally involve a function of the pixel values (such as "maximum contrast") drawn from that same location in the set of source images. Typically, a user applies a series of image objectives iteratively in order to create a finished composite. The power of this framework lies in its generality; we show how it can be used for a wide variety of applications, including "selective composites" (for instance, group photos in which everyone looks their best), relighting, extended depth of field, panoramic stitching, clean-plate production, stroboscopic visualization of movement, and time-lapse mosaics.