图像源分离用于颜色混合

S. Eltaweel
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引用次数: 0

摘要

在本文中,我们有两个混合的图像,需要在接收到合并后的图像和其中一个图像后,将两个图像源从合并后的图像中分离出来。对合并后的图像进行离散小波变换。此外,它适用于损坏和接收图像源。组合图像的高频分量与图像源相关联。利用相关结果对图像源像素和零像素进行分类。将该实验应用于其他图像源和组合图像。对性能进行了测量,并与最近同一主题的一篇论文进行了比较,证明所提出的方法比最近的论文的结果更好。在最近的论文中,没有考虑颜色混合,在我们的工作中考虑了它,并给出了很好的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image sources separation for color mixtures
In this paper, we have a mixture of two added images and it is required to separate the two image sources from the combined one after receiving the combined image and one of the two source images. The Discrete Wavelet Transform (DWT) is applied on the combined image. Also, it is applied on the corrupted and received image source. The high frequency components of the combined image and the image source are correlated. The result of correlation is used in classifying the pixel whether belongs to image source or zero. The experiment is applied on the other image source and the combined image. The performance is measured and compared to a recent paper in the same topic and the proposed method is proved to have better results than the results of the recent paper. In the recent paper, the color mixture is not considered, it is considered in our work and gave very good results.
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