Automatic selection of color reference image for panoramic stitching
Automatic selection of color reference image for panoramic stitching
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DOI：
10.1007/s00530-015-0467-4
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发表时间：
2016-06
影响因子：
3.9
通讯作者：
M. T. Ibrahim;R. Hafiz;M. Khan;Yongju Cho
中科院分区：
文献类型：
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作者：
M. T. Ibrahim;R. Hafiz;M. Khan;Yongju Cho
色彩校正是生成高分辨率拼接全景图的重要步骤。通常，颜色校正方案尝试将全景图中每个图像的颜色与任意选择的参考图像进行匹配。我们提供了一种方案，该方案使用图像对比度、基于梯度的结构相似性指数测量（G-SSIM）和颜色裁剪信息等定量指标来自动选择最佳参考，从而产生视觉上令人愉悦的输出全景图。该方案的定量和定性评估显示了全景图像和拼接视频的令人鼓舞的结果。该方案充当色彩校正的预处理步骤，并且它对参数和非参数全局色彩校正方案的适用性也已得到证明。
Color correction is an important step in the generation of high-resolution stitched panoramas. Typically, color correction schemes try to match the color of each image in the panorama to an arbitrarily selected reference image. We provide a scheme that uses quantitative metrics such as image contrast, gradient-based structure similarity index measure (G-SSIM) and color clipping information to automatically select the best reference that results in visually pleasing output panoramas. Quantitative and qualitative evaluation of the scheme show encouraging results for panoramic images as well as for stitched videos. The scheme acts as a pre-processing step to color correction and its applicability to both parametric and non-parametric global color correction schemes has also been demonstrated.