一种真实非线性混合图像的分离方法
Separating a Real-Life Nonlinear Image Mixture
摘要：
当获取纸质文档的图像时，打印在背面页面上的图像有时会显示出来。这样得到的封面和封底图像的混合是显著非线性的，因此构成了非线性盲声源分离的一个很好的真实测试案例。本文解决了这个问题的一个困难的版本，对应于使用“洋葱皮”纸，这导致在一个相对较强的非线性的混合物，这变得接近奇异的图像的较轻的地区。分离是通过MISEP技术实现的，MISEP技术是众所周知的INFOMAX方法的扩展。分离结果用客观的质量指标进行评估。它们显示出与线性分离获得的结果相比的改进，但是具有进一步改进的空间。
英文摘要：
When acquiring an image of a paper document, the image printed on the back page sometimes shows through. The mixture of the front- and back-page images thus obtained is markedly nonlinear, and thus constitutes a good real-life test case for nonlinear blind source separation. This paper addresses a difficult version of this problem, corresponding to the use of "onion skin" paper, which results in a relatively strong nonlinearity of the mixture, which becomes close to singular in the lighter regions of the images. The separation is achieved through the MISEP technique, which is an extension of the well known INFOMAX method. The separation results are assessed with objective quality measures. They show an improvement over the results obtained with linear separation, but have room for further improvement.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
