Remote sensing image enhancement based on wavelet analysis and histogram specification
文献类型：会议论文
| 作者 | Xie, Liang1,2; Wang, Guoyin2; Zhang, Xuerui2 ; Xiao, Bin1; Zhou, Botian2; Zhang, Fan2
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| 出版日期 | 2014 |
| 会议日期 | November 27, 2014 - November 29, 2014 |
| 会议地点 | Shenzhen, China |
| DOI | 10.1109/CCIS.2014.7175702 |
| 页码 | 55-59 |
| 通讯作者 | Wang, Guoyin (wangguoyin@cigit.ac.cn) |
| 英文摘要 | In order to monitor the water quality widely and rapidly in The Three Gorges zone, it's useful to gain the information in real-time by remote sensing images, but there are some defects in remote sensing images, such as bad visual contrast, low-resolution, and low brightness. Other than general optical images, remote sensing images contain a large amount of information; its processing is time consuming. In order to improve the contrast and details of the image and reduce the complication of compute, an image enhancement approach based on wavelet and histogram specification is proposed in this paper. From the experiment results and comparison with the original image, we can see that the contrast improved by about 200% and information entropy improved by about 107%. Our proposed algorithm not only enhances the details of image greatly, but also preserves the color information of original remote sensing image effectively. Since this method do not convert the color image to other color space, the computation complexity is simple, so it is an efficient algorithm for remote sensing image enhancement in real-time. © 2014 IEEE. |
| 会议录 | 3rd IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2014
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| 语种 | 英语 |
| 源URL | [http://119.78.100.138/handle/2HOD01W0/4715]  |
| 专题 | 大数据挖掘及应用中心 |
| 作者单位 | 1.Chongqing University of Posts and Telecommunications, Chongqing; 400065, China; 2.Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing; 400714, China |
| 推荐引用方式 GB/T 7714 | Xie, Liang,Wang, Guoyin,Zhang, Xuerui,et al. Remote sensing image enhancement based on wavelet analysis and histogram specification[C]. 见:. Shenzhen, China. November 27, 2014 - November 29, 2014. |
入库方式： OAI收割
来源：重庆绿色智能技术研究院
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