基于色调映射的沙尘视频快速增强算法

钱绪泽; 赖惠成; 高古学; 陈豪

doi:10.13568/j.cnki.651094.651316.2021.01.05.0002

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基于色调映射的沙尘视频快速增强算法

更新时间：2026-01-21

- 基于色调映射的沙尘视频快速增强算法
- Journal of Xinjiang University (Natural Science Edition in Chinese and English) Vol. 39, Issue 2, Pages: 197-205(2022)
- 作者机构：
  
  1. 新疆大学信息科学与工程学院
  2. 新疆大学信号检测与处理自治区重点实验室
- 作者简介：
- 基金信息：
- DOI：10.13568/j.cnki.651094.651316.2021.01.05.0002
  CLC： TP391.41
- Published：2022
- 稿件说明：
移动端阅览
[1]钱绪泽,赖惠成,高古学,等.基于色调映射的沙尘视频快速增强算法[J].新疆大学学报(自然科学版)(中英文),2022,39(02):197-205.
[1]钱绪泽,赖惠成,高古学,等.基于色调映射的沙尘视频快速增强算法[J].新疆大学学报(自然科学版)(中英文),2022,39(02):197-205. DOI： 10.13568/j.cnki.651094.651316.2021.01.05.0002.

DOI：10.13568/j.cnki.651094.651316.2021.01.05.0002.

摘要

沙尘条件下，由于悬浮在大气中的颗粒吸收和散射大气光导致采集到的图像偏色严重、边缘模糊、对比度低，这使得视频图像质量严重下降，同时我们在对视频进行处理时也面临着Halo效应、画面亮度闪烁以及算法时间复杂度高等问题．针对这些问题，我们提出了一种基于Monge-Kantorovitch线性色调映射（Monge-Kantorovitch linear colour mapping

MKLCM）的沙尘视频快速增强算法，首先利用基于统计的方法和全局直方图均衡化算法去除沙尘视频帧的色偏，为了减少噪声和提升图像的细节，利用MKLCM算法对视频帧进行进一步增强，最后根据蓝通道相关性将视频帧的统计量应用到后面的视频帧处理中，防止画面亮度出现闪烁的同时增加算法的实时性．与其他最新算法对比，并通过主客观分析，实验结果表明该算法能够有效快速地解决视频色偏、对比度低等问题，增强了沙尘视频的整体效果．

Abstract

Under sandy and dusty conditions

the particles suspended in the atmosphere absorb and scatter atmospheric light

resulting in severe color cast

blurred edges

and low contrast of the collected images

which causes a serious degradation of the video image quality

and we also face the problems of Halo effect

flickering of the screen brightness

and high time complexity of the algorithm when processing the video. To solve these problems

we propose a fast enhancement algorithm for sand video based on Monge-Kantorovitch linear color mapping(MKLCM)

which firstly uses a statistical method and a global histogram equalization algorithm to remove the sand video frames color skew. In order to reduce the noise and enhance the details of the image

the video frame is further enhanced using the MKLCM algorithm

and finally the statistics of the video frame are applied to the later video frame processing according to the blue channel correlation to prevent the flicker in the brightness of the screen while increasing the real-time performance of the algorithm. Compared with other latest algorithms and through subjective and objective analysis

the experimental results show that the algorithm can effectively and quickly solve the problems of video color shift and low contrast

and enhance the overall effect of the sandy video.

关键词

Keywords

references

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