红外技术2017，Vol.39Issue(9)：835-840,6.
基于视觉显著区域的红外图像增强算法研究
Research on Infrared Image Enhancement AlgorithmBased on Visual Saliency
汪忱 1张宝辉 2王虹 1李中文2
作者信息
- 1. 南京理工大学 电子工程与光电技术学院,江苏 南京210094
- 2. 北方夜视科技集团有限公司南京研发中心,江苏南京211106
- 折叠
摘要
Abstract
The human eye has a higher degree of visual acuity for regions of interest. In order to enhance such regions in images, this paper proposes an algorithm of infrared image enhancement based on visual saliency. First, the de-fog algorithm detects a more complete salient region in the image. Then, the theory of layered difference representation is applied to the region, and the difference vector of the upper layer is applied o the lower layer. Finally, the vector of the salient region and the global transform function of the image are calculated to obtain the enhanced image. The experimental results show that the proposed method not only highlights the salient region reasonably well, but also enhances it. The method also maintains the boundary of the original image during enhancement.关键词
视觉显著性/分层差分表达理论/红外图像增强/去雾Key words
visual saliency/layered difference representation/infrared image enhancement/De-fog分类
信息技术与安全科学引用本文复制引用
汪忱,张宝辉,王虹,李中文..基于视觉显著区域的红外图像增强算法研究[J].红外技术,2017,39(9):835-840,6.
