...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IETE Technical Review >Modified Visibility Restoration-Based Contrast Enhancement Algorithm for Colour Foggy Images
【24h】

Modified Visibility Restoration-Based Contrast Enhancement Algorithm for Colour Foggy Images

机译：基于改进的可见度恢复的彩色雾图像对比度增强算法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The visibility enhancement of colour foggy images is a very challenging task for many real-time applications. In this paper, we have proposed an efficient and robust algorithm for visibility enhancement of colour foggy images. The proposed algorithm works in two steps: in the first step, modified visibility restoration algorithm is applied for visibility enhancement, and in the second step, sigmoid-function-based contrast enhancement technique is applied for colour contrast enhancement of images. The quantitative and qualitative results of proposed and other state-of-the-art algorithms for colour foggy images are obtained in terms of fog aware density evaluator, fog reduction factor (FRF), measure of enhancement (EME), and measure of enhancement factor (EMF) on different colour foggy image databases. Results reveal the strength of proposed algorithm mathematically on the basis of fog thickness estimation from original image and output-enhanced image, FRF, EME, and EMF for colour foggy images. Experimental results shows that the proposed algorithm provides better quantitative and qualitative results as compared to other state-of-the-art algorithms for colour foggy images. Finally, the proposed algorithm is highly efficient for visibility enhancement of colour foggy images.
机译：对于许多实时应用而言，彩色模糊图像的可见度增强是一项非常具有挑战性的任务。在本文中，我们提出了一种有效且鲁棒的算法来增强彩色雾图像的可见性。所提出的算法分两个步骤进行：第一步，将改进的可见性恢复算法应用于可见性增强，第二步，将基于S形函数的对比度增强技术应用于图像的颜色对比度增强。拟议的和其他最新的彩色雾图像算法的定量和定性结果是从雾感知密度评估器，雾减少因子（FRF），增强度量（EME）和增强因子的度量方面获得的（EMF）在不同颜色的模糊图像数据库上。结果基于彩色雾图像的原始图像和输出增强图像，FRF，EME和EMF的雾厚估计，在数学上揭示了该算法的优势。实验结果表明，与其他彩色雾图像的最新算法相比，该算法提供了更好的定量和定性结果。最后，所提出的算法对于彩色雾图像的可见性增强是高效的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号