Deficiency Compensation of Image in Severe Environment

LIU Jie; XIE Zheng-xiang; LV Xia-fu; HUANG Wei-na

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Deficiency Compensation of Image in Severe Environment

更新时间：2026-09-04

- Deficiency Compensation of Image in Severe Environment
- Vol. 32, Issue 3, Pages: 54-58(2015)
- 作者机构：
  
  1. 1 重庆邮电大学工业物联网与网络化控制教育部重点实验室机构,重庆,400065
  2. 2 重庆医科大学机构生物医学工程研究室,重庆,400016
- 作者简介：
- 基金信息：
- DOI：
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- Published：2015
- 稿件说明：
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刘杰, 谢正祥, 吕霞付, 黄维娜. 恶劣环境下图像的缺陷补偿[J]. 微电子学与计算机, 2015, 32(3): 54-58.

LIU Jie, XIE Zheng-xiang, LV Xia-fu, et al. Deficiency Compensation of Image in Severe Environment[J]. 2015, 32(3): 54-58.
刘杰, 谢正祥, 吕霞付, 黄维娜. 恶劣环境下图像的缺陷补偿[J]. 微电子学与计算机, 2015, 32(3): 54-58. DOI：

LIU Jie, XIE Zheng-xiang, LV Xia-fu, et al. Deficiency Compensation of Image in Severe Environment[J]. 2015, 32(3): 54-58. DOI：

摘要

在分析介质(环境)对成像质量影响的基础上

建立了介质中图像衰减模型

提出了一种同时适用于过暗、过亮、有雾和水下四种恶劣环境下的衰减补偿算法.图像的主观评价和客观评价的实验表明运用此衰减补偿算法处理后的图像拥有更好的视觉效果

并在处理速度上有较大的提升.

Abstract

This paper establishes an image attenuation model in the medium and proposes an attenuation compensation algorithm which can be used in four types of severe environment mentioned above. The experiments on subjective assessment and objective assessment function indicate the image processed by the proposed attenuation compensation algorithm has better visual effect

and the speed of the processing been promoted considerably.

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