Abstract
A novel method of color image enhancement is proposed, in which three or four color channels of the image are transformed to one channel 2-D grayscale image. This paper describes different models of such transformations in the RGB and other color models. Color image enhancement is achieved by enhancing first the transformed grayscale image and, then, transforming back the grayscale image into the colors. The color image enhancement is done on the transformed 2-D grayscale image rather than on the color image. New algorithms of color image enhancement are described in both frequency and time domains. The enhancement by this novel method shows good results. The enhancement of the image is measured with respect to the metric referred to as the Color Enhancement Measure Estimation (CEME).
Abstract (translated)
提出了一种新的彩色图像增强方法，其中图像的三个或四个颜色通道被转换为一个通道2-D灰度图像。本文描述了RGB和其他颜色模型中此类变换的不同模型。通过首先增强变换的灰度图像，然后将灰度图像变换为颜色来实现彩色图像增强。彩色图像增强是在变换的2-D灰度图像上而不是在彩色图像上完成的。在频域和时域中都描述了新的彩色图像增强算法。通过这种新方法的增强显示出良好的结果。相对于被称为颜色增强测量估计（CEME）的度量来测量图像的增强。
URL
https://arxiv.org/abs/1807.07962
