Color Image Haze Removal Algorithm Based on Luminance Feedback

HE Lin-yuan; BI Du-yan; XIONG Lei; NAN Dong; ZHOU Li

doi:10.3969/j.issn.0372-2112.2015.10.015

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Color Image Haze Removal Algorithm Based on Luminance Feedback

更新时间：2025-07-16

- Color Image Haze Removal Algorithm Based on Luminance Feedback
- Acta Electronica Sinica Vol. 43, Issue 10, Pages: 1978-1983(2015)
- 作者机构：
  
  1. 西安交通大学电子与信息工程学院,陕西,西安,710049
  2. 空军工程大学航空航天工程学院,陕西,西安,710038
  3. 西安交通大学电子与信息工程学院,陕西,西安,710049
  4. 空军工程大学航空航天工程学院,陕西,西安,710038
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61175029, No.61203268, No.61202339)
- DOI：10.3969/j.issn.0372-2112.2015.10.015
  CLC： TP391.4
- Published：2015
- 稿件说明：
移动端阅览
HE Lin-yuan, BI Du-yan, XIONG Lei, et al. Color Image Haze Removal Algorithm Based on Luminance Feedback[J]. Acta Electronica Sinica, 2015, 43(10): 1978-1983.
DOI：

HE Lin-yuan, BI Du-yan, XIONG Lei, et al. Color Image Haze Removal Algorithm Based on Luminance Feedback[J]. Acta Electronica Sinica, 2015, 43(10): 1978-1983. DOI： 10.3969/j.issn.0372-2112.2015.10.015.

摘要

针对目前主流去除雾霾算法采用亮度和色度分量分而治之的机制

割裂了二者固有的相关性

致使增强后图像质量不能两者兼顾的问题

本文以人眼视觉特性为依据

提出了一种亮度反馈的增强方法.该方法首先对亮度信息进行区域适应性调整

并对其细节和边缘进行提升

然后将该结果纳入色度信息处理的约束条件

较好的保持了两者间的相关性.实验表明本文算法在去除雾霾后视觉效果优异

具有较好的实用性和较少的计算资源消耗.

Abstract

Through the analysis of the current main of dehazing algorithms

we found that they adapted the divide and conquer strategy to process the luminance and chrominance components

therefore they separated their correlation.To resolve the problem

we performed a sort of method for enhancing and combining the image based on luminance feedback through the human visual characteristics.First

it adjusted the brightness information and lifted the edges and details of original image.Moreover

it regarded the results as constraint conditions which would be used in processing chromatic component for maintain their relevance.Experiments have demonstrated that the proposed method could obtain an excellent result and provide a good practicability and take less time.

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