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首页> 外文会议>International Conference on Image and Signal Processing >Fast Exposure Fusion Based on Histograms Segmentation
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Fast Exposure Fusion Based on Histograms Segmentation

机译：基于直方图分割的快速曝光融合

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摘要

Usual cameras can gather only a small interval of intensities found in high dynamic range scenes. This fact leads to loss of details in acquired images and apparition of under or overexposed pixels. A popular approach to deal with this problem is to take several images differently exposed and fuse them into one single image. The exposure fusion is mostly performed as a weighted average between corresponding pixels. Weighting all pixels of the exposure bracketing slows the fusion process and makes realtime acquisition difficult. In this paper we present a fast exposure fusion method based on histograms segmentation. The segmentation phase reduces considerably the computations while preserving competitive fusion quality. We present also an automatic way to take enhanced exposures for fusion, using the segmented regions. Subjective and objective comparisons are conducted to prove the effectiveness of our method.
机译：通常的摄像机只能收集高动态范围场景中发现的小间隔。这一事实导致丢失所获得的图像和过度像素的图像和幻影的细节。处理这个问题的流行方法是采取几种图像以不同地暴露并将它们融入一个单个图像。曝光融合主要是在对应像素之间的加权平均值进行。加权曝光包围的所有像素减慢了融合过程并使实时采集困难。本文介绍了一种基于直方图分割的快速曝光融合方法。分割阶段在保持竞争融合质量的同时显着降低计算。我们还提供了一种自动方法来利用分段区域对融合的增强曝光。进行主观和客观的比较以证明我们方法的有效性。

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