This paper proposes a novel technique to create a high-resolution image by combining the bracketed exposure sequence without a priori knowledge of source image. The source image is split into three categories: constant, high varying and low varying feature images. For high and low varying features, pixels with highest information is selected and combined to construct collective high and low varying feature image. Collective constant feature image is constructed from weighted average of constant feature images, where weight is calculated based on information present in original source images. These pre-processed high, low and constant feature images are further combined to produce a final fused image. Objective analysis based quality evaluation parameters show a significant improvement in result produced by proposed method against the state-of-the-art.

中文翻译：

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使用递归和高斯滤波器融合多重曝光图像

本文提出了一种通过组合括号曝光序列来创建高分辨率图像的新技术，而无需源图像的先验知识。源图像分为三类：恒定、高变化和低变化特征图像。对于高低变化特征，选择并组合具有最高信息的像素以构建集体高低变化特征图像。集体恒定特征图像由恒定特征图像的加权平均构成，其中权重是根据原始源图像中存在的信息计算的。这些经过预处理的高、低和恒定特征图像进一步组合以产生最终的融合图像。