彩色图像增强应用的色彩空间选择

M. Asmare, V. Asirvadam, L. I. Izhar
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引用次数: 59

摘要

不依赖于设备的色彩定量描述是一个具有挑战性的问题。另一个问题是,即使在相同的亮度下,一些颜色在视觉上也比其他颜色更亮。不同的颜色表现试图克服这些问题,并取得了不同程度的成功。正是由于这个原因,才有如此多的标准颜色表示。本文的目的是分析和评价彩色图像增强应用中的各种颜色空间。转换精度和结构相似性度量是衡量每个色彩空间性能的两个客观参数。八种最常见的色彩空间被制定和测试。计算了它们的转换效率,并根据它们的图像增强适用性对它们进行了评价。提出了一种基于多分辨率分解的图像对比度增强方法,并对所有颜色空间进行了测试。YUV空间具有较好的重建效果,而HSI空间在图像增强方面表现最好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Color Space Selection for Color Image Enhancement Applications
Device independent, quantitative description of color is a challenging problem. Another problem is that even under equal intensity, some colors are visually brighter than others. Different color representations try to overcome these problems, with varying degrees of success. It is for this reason that there are so many standard color representations. In this paper our goal is to analyze and evaluate the various color spaces in color image enhancement applications. Conversion accuracy and structural similarity measure are the two objective parameters to measure the performance of each color space. Eight most common color spaces are formulated and tested. Their conversion efficiency is computed and they are evaluated based on their performance in image enhancement applicability. Image contrast enhancement method based on multi-resolution decomposition is proposed and tested for all the color spaces. The YUV space is has perfect reconstruction while HSI performs the best in the image enhancement.
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