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Luminance Adjustment in Image and Video

机译:图像和视频的亮度调节

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摘要

It is a important issue that luminance coherent in the sequence video. After adjusting in the video, and then we can see the clearly image with accordant luminance. In addition, inpainting the intensity in image or video, the image will display the new intensity. We can see the image different and get better than original intensity. Moreover, we maybe also adjust intensity contrast, make sure the detail color and luminance appear same coordinate color. In these issue, we try to use average intensity to solve luminance in video. We can calculate the middle intensity with the frames average intensity, and then we get 'the threshold help us for fixing the image intensity. And we can use histogram and tensor voting to solve luminance difference in image. We will show the experiment in this research. Then, we will compare these two methods, the result in histogram and tensor voting.
机译:序列视频中的亮度保持一致是一个重要的问题。在视频中进行调整后,我们可以看到具有一致亮度的清晰图像。此外,在图像或视频中修复强度后,图像将显示新的强度。我们可以看到图像不同,并且比原始强度更好。此外,我们还可以调整强度对比度,以确保细节颜色和亮度出现相同的坐标颜色。在这些问题中,我们尝试使用平均强度来解决视频中的亮度。我们可以用帧平均强度来计算中间强度,然后我们得到“阈值,帮助我们固定图像强度。并且我们可以使用直方图和张量投票来解决图像中的亮度差异。我们将在这项研究中展示实验。然后,我们将比较这两种方法,即直方图和张量投票的结果。

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