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An improved Algorithm of Mask Image dodging for aerial Image

机译:一种改进的航空图像掩蔽图像闪避算法

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摘要

The technology of Mask image dodging based on Fourier transform is a good algorithm in removing the uneven luminance within a single image. At present, the difference method and the ratio method are the methods in common use, but they both have their own defects .For example, the difference method can keep the brightness uniformity of the whole image, but it is deficient in local contrast; meanwhile the ratio method can work better in local contrast, but sometimes it makes the dark areas of the original image too bright. In order to remove the defects of the two methods effectively, this paper on the basis of research of the two methods proposes a balance solution. Experiments show that the scheme not only can combine the advantages of the difference method and the ratio method, but also can avoid the deficiencies of the two algorithms.
机译:基于傅立叶变换的掩模图像闪避技术是一种很好的消除单个图像亮度不均的算法。目前,差分法和比率法是常用的方法,但是它们都有各自的缺陷。例如,差分法虽然可以保持整个图像的亮度均匀性,但是局部对比度不足。同时,比率方法可以在局部对比度下更好地工作,但有时会使原始图像的暗区过亮。为了有效消除这两种方法的缺陷,本文在对这两种方法进行研究的基础上,提出了一种平衡方案。实验表明,该方案不仅可以结合差分法和比率法的优点,而且可以避免两种算法的不足。

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