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A comparison of the multiscale rethinex with other image enhancement techniques

机译:多尺度Rethinex与其他图像增强技术的比较

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The multiscale retinex with color restoration (MSRCR) has shown itself to be a very versatile automatic image enhancement algorithm that simultaneously provides dy-namic range compression, color constancy, and color rendition. A number of algorithms exist that provide one or more of these features, but not all. In this paper we compare the performance of the MSRCR with techniques that are widely used for image enhancement. Specifically, we compare the MSRCR with color adjustment methods such as gamma correction and gain/offset application, historgram modification techniques such as histogram equalization and manual histogram adjustment, and other more powerful techniques such as homomorphic filtering and `burning and dodging'. The comparison is carried out by testing the suite of image enhancement methods on a set of diverse images. We find that thgough some of these techniques work well for some of these images, only the MSRCR performs unviersally well opn the test set.
机译:具有颜色恢复(MSRCR)的MultiScale RetineX已经显示为一个非常通用的自动图像增强算法,同时提供Dy-namic范围压缩,颜色恒定和颜色再现。存在许多提供这些功能中的一个或多个的算法,但并非所有的算法。在本文中,我们将MSRCR的性能与广泛用于图像增强的技术进行比较。具体而言,我们将MSRCR与颜色调节方法(如Gamma校正和增益/偏移应用)进行比较,历史级修改技术,如直方图均衡和手动直方图调整,以及其他强大的技术,如同型滤波和“燃烧和躲避”。通过在一组不同图像上测试图像增强方法的套件来执行比较。我们发现,其中一些技术对于其中一些图像工作很好,只有MSRCR执行opn测试集。

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