• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Signal Acquisition and Processing, 2009. ICSAP 2009 >Color Space Selection for Color Image Enhancement Applications
【24h】

Color Space Selection for Color Image Enhancement Applications

机译：彩色图像增强应用的色彩空间选择

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

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.
机译：与设备无关的颜色定量描述是一个具有挑战性的问题。另一个问题是，即使在强度相同的情况下，某些颜色在视觉上也比其他颜色明亮。不同的颜色表示尝试以不同程度的成功克服这些问题。出于这个原因，存在太多的标准颜色表示。在本文中，我们的目标是分析和评估彩色图像增强应用程序中的各种色彩空间。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。制定并测试了八个最常见的色彩空间。计算它们的转换效率，并根据其在图像增强应用中的性能进行评估。提出了一种基于多分辨率分解的图像对比度增强方法，并对所有色彩空间进行了测试。 YUV空间具有完美的重构，而HSI在图像增强方面表现最佳。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利