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曝光包围对融合的变分方法。

Variational approach for the fusion of exposure bracketed pairs.

机构信息

Departamento de Tecnologóas de la Información y las Comunicaciones, Universitat Pompeu Fabra, Barcelona 08018, Spain.

出版信息

IEEE Trans Image Process. 2013 Feb;22(2):712-23. doi: 10.1109/TIP.2012.2221730. Epub 2012 Oct 2.

Abstract

When taking pictures of a dark scene with artificial lighting, ambient light is not sufficient for most cameras to obtain both accurate color and detail information. The exposure bracketing feature usually available in many camera models enables the user to obtain a series of pictures taken in rapid succession with different exposure times; the implicit idea is that the user picks the best image from this set. But in many cases, none of these images is good enough; in general, good brightness and color information are retained from longer-exposure settings, whereas sharp details are obtained from shorter ones. In this paper, we propose a variational method for automatically combining an exposure-bracketed pair of images within a single picture that reflects the desired properties of each one. We introduce an energy functional consisting of two terms, one measuring the difference in edge information with the short-exposure image and the other measuring the local color difference with a warped version of the long-exposure image. This method is able to handle camera and subject motion as well as noise, and the results compare favorably with the state of the art.

摘要

当用人工照明拍摄暗场景的照片时,环境光对于大多数相机来说不足以同时获得准确的颜色和细节信息。许多相机型号通常提供的曝光包围功能可使用户快速连续地获得一系列具有不同曝光时间的照片;其隐含的想法是,用户可以从这组照片中挑选出最佳的图像。但是在许多情况下,这些图像都不够好;通常,较长曝光时间设置会保留较好的亮度和颜色信息,而较短曝光时间设置则会获得更清晰的细节。在本文中,我们提出了一种用于在单个图像内自动组合曝光包围对的变分方法,该方法反映了每幅图像的所需特性。我们引入了一个能量泛函,它由两个项组成,一个用于测量与短曝光图像的边缘信息差异,另一个用于测量与长曝光图像的扭曲版本的局部颜色差异。该方法能够处理相机和主体运动以及噪声,并且与现有技术相比,结果令人满意。

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