首页> 外文会议>International Conference on Electrical and Control Engineering >Methods of Restoring A Weather Degradation Image Based on Physical Model and Their Application
【24h】

Methods of Restoring A Weather Degradation Image Based on Physical Model and Their Application

机译:基于物理模型及其应用恢复天气劣化图像的方法

获取原文

摘要

The contrast and color of a weather degradation image are bad. Lacking of some parameters, it's difficult to restore the contrast and color of the scence under the fine weather by only one weather degradation image. In this paper two simple methods of restoring a weather degradation image,depth developmental method and depth estimate method, are introduced.The two methods bases on the dichromatic armospheric scattering model.It can delete the effect of weathe in an image,without any additional weather and depth information.It only needs an image in bad weather and simple information provide interactively by the user.The intensity of the restored image degrades.So we use the histogram intensity adjusting method and depth intensity adjusting method respectively to enhance and adjust the intensity of the image.We simulate the two methods in Matlab,and compare between them.Simulation results show that the effect of the two methods in restoring a weather degradation image is good.
机译:天气降级图像的对比度和颜色是坏的。缺乏一些参数,只有一个天气降级图像难以在晴朗的天气下恢复良好天气下的对比度和颜色。在本文中,介绍了两种简单的恢复天气降解图像,深度发育方法和深度估计方法的方法。两种方法在二色铠散散射模型上施加。可以删除Weathe在图像中的效果,而无需任何额外的天气和深度信息。它仅需要恶劣天气和简单信息的图像,由用户交互方式。恢复的图像的强度分别使用直方图强度调节方法和深度强度调节方法来增强和调整强度映像。我们模拟了Matlab中的两种方法,并在它们之间进行比较。仿金结果表明,这两种方法在恢复天气降级图像时的效果是好的。

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