计算机工程与应用2018，Vol.54Issue(9)：189-193,242,6.DOI:10.3778/j.issn.1002-8331.1612-0259
基于人眼视觉感知驱动的井下图像增强算法
Downhole image enhancement algorithm driven by human visual perception
王焱 1杨威 1王亚恒1
作者信息
- 1. 辽宁工程技术大学 电气与控制工程学院,辽宁 葫芦岛125105
- 折叠
摘要
Abstract
In order to solve the traditional contrast enhancement method in the downhole image processing can not take into account the compressed dynamic range,adjust the brightness and enhance the image contrast and other issues,this paper proposes a contrast enhancement algorithm for downhole images based on human visual perceptual characteristics. Firstly,the image is divided according to the characteristic of human eye luminance masking,then,based on the non-linear luminance mapping model,different scales of different regions of the image are adjusted nonlinearly.Finally,adjust the brightness of the different regions after the combination of the new image. The experimental results show that this method can effectively enhance the contrast of low-light images and improve the visual effect of the image.关键词
视觉感知特性/井下图像/对比度增强/非线性映射模型Key words
visual perception characteristics/downhole image/contrast enhancement/nonlinear mapping model分类
信息技术与安全科学引用本文复制引用
王焱,杨威,王亚恒..基于人眼视觉感知驱动的井下图像增强算法[J].计算机工程与应用,2018,54(9):189-193,242,6.
